{"id":"W1993582966","doi":"10.1016/j.ijrobp.2012.07.1670","title":"Multidisciplinary Prediction of Survival in Advanced Cancer Patients","year":2012,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Lung cancer; Cancer; Palliative care; Radiation therapy; Performance status; Demographics; Overall survival; Survival analysis; Multidisciplinary team; Multidisciplinary approach; Internal medicine; Demography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007107889,0.0002728683,0.0004254459,0.0006772397,0.0003228108,0.0007314431,0.0003896267,0.0007153794,0.003852866],"category_scores_gemma":[0.005702341,0.000180152,0.0006887226,0.0006825976,0.0001487267,0.0004688549,0.0009655411,0.0009171499,0.0003468696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005562837,"about_ca_system_score_gemma":0.0003986738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004692797,"about_ca_topic_score_gemma":0.00702299,"domain_scores_codex":[0.9996308,0.0001478864,0.00002988953,0.00005284287,0.00004188599,0.00009671434],"domain_scores_gemma":[0.9962416,0.001288962,0.000995744,0.0001097891,0.0002485956,0.001115474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004115452,0.0001114822,0.991407,0.000009379037,0.00009624525,0.00007059769,0.00004363935,0.00317553,0.0001051183,0.0001161619,0.0004786143,0.00397462],"study_design_scores_gemma":[0.0000240401,0.000251165,0.976833,0.00001560155,0.00007840872,0.0002131956,0.0002884261,0.02089604,0.0001064904,0.0009136166,0.0003670817,0.00001302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974462,0.0003850622,0.0003475868,0.000611948,0.00002578219,0.000005212713,0.0003969909,0.0000051385,0.0007760609],"genre_scores_gemma":[0.9992378,0.00007692727,0.00007611809,0.00002935692,0.0000225749,0.000003264861,0.0003507992,0.000001343631,0.0002017807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004692797,"threshold_uncertainty_score":0.01288915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02958805239809094,"score_gpt":0.3070473237843827,"score_spread":0.2774592713862918,"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."}}