{"id":"W1989039176","doi":"10.1093/jncimonographs/lgu018","title":"Evaluation of North American Association of Central Cancer Registries' (NAACCR) Data for Use in Population-Based Cancer Survival Studies","year":2014,"lang":"en","type":"article","venue":"JNCI Monographs","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba; Cancer Care Ontario","funders":"National Institutes of Health","keywords":"Medicine; Epidemiology; Cancer; Demography; Surveillance, Epidemiology, and End Results; Population; Cancer registry; Cause of death; Relative survival; Environmental health; Internal medicine; Disease","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2813508,0.0007582122,0.001475804,0.0134632,0.00125799,0.005979908,0.002666612,0.0006686485,0.005140262],"category_scores_gemma":[0.3410386,0.0005931773,0.001357955,0.02340857,0.0006541586,0.002039487,0.002258252,0.0009915616,0.001201866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00418855,"about_ca_system_score_gemma":0.02648155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03122107,"about_ca_topic_score_gemma":0.05658095,"domain_scores_codex":[0.7771543,0.1397201,0.03171421,0.004026808,0.04539338,0.001991216],"domain_scores_gemma":[0.5742273,0.1187216,0.03725569,0.05159293,0.2140827,0.004119886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001297568,0.0006426789,0.6035678,0.005546382,0.002096278,0.0002320148,0.002026743,0.00226336,0.0006027983,0.01118717,0.1373498,0.2331874],"study_design_scores_gemma":[0.0005372636,0.000568504,0.7171227,0.003831612,0.001086428,0.0002157712,0.00143617,0.003845816,0.001037798,0.001611484,0.2686247,0.00008174736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2488619,0.01785914,0.08953984,0.009715452,0.004184768,0.06524734,0.3969007,0.002032585,0.1656583],"genre_scores_gemma":[0.5733798,0.006770644,0.1395617,0.002895524,0.0008460635,0.06829465,0.1986197,0.0004961078,0.009135874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2813508,"threshold_uncertainty_score":0.8862224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2925589229432621,"score_gpt":0.4441372431345442,"score_spread":0.1515783201912821,"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."}}