{"id":"W2049597407","doi":"10.3747/co.19.1148","title":"Conditional Survival in Canada: Adjusting Patient Prognosis over Time","year":2012,"lang":"en","type":"article","venue":"Current Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; Canadian Partnership Against Cancer; University of Calgary","funders":"","keywords":"Medicine; Relative survival; Survival analysis; Statistics; Demography; Cancer; Internal medicine; Cancer registry; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002559062,0.0003146845,0.000565808,0.0009228482,0.001114506,0.001093659,0.001666557,0.000645761,0.00342518],"category_scores_gemma":[0.01344116,0.0002272153,0.001184503,0.003462869,0.0005029799,0.0006426686,0.0009229229,0.001376446,0.0003182215],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02550595,"about_ca_system_score_gemma":0.04239834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914136,"about_ca_topic_score_gemma":0.9916031,"domain_scores_codex":[0.9984382,0.000306881,0.0001107115,0.0003235007,0.0003281548,0.0004926228],"domain_scores_gemma":[0.9944379,0.001160461,0.0009869122,0.0005064738,0.002049173,0.000859034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007287974,0.00003825055,0.9642268,0.00004766249,0.0003745321,0.00009547323,0.0001734228,0.004814705,0.0000683067,0.001599824,0.0102463,0.01758598],"study_design_scores_gemma":[0.0001141319,0.0001249178,0.9513368,0.00009626498,0.000748043,0.0002747475,0.000551377,0.03398457,0.0003442168,0.001704596,0.01064461,0.00007568654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9297203,0.003304189,0.005744966,0.008732381,0.0002813129,0.0001029174,0.04319188,0.0002923471,0.008629641],"genre_scores_gemma":[0.984478,0.0007169537,0.001771937,0.0003770373,0.00003837252,0.00002821093,0.009702891,0.00004556355,0.002841044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.974494,"threshold_uncertainty_score":0.1850594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1923314336016722,"score_gpt":0.408168486911977,"score_spread":0.2158370533103049,"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."}}