{"id":"W2059093710","doi":"10.1017/s0266462313000044","title":"CANADIAN CANCER RISK MANAGEMENT MODEL: EVALUATION OF CANCER CONTROL","year":2013,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; Cancer Care Ontario; Health Sciences Centre; University of Ottawa; Institute for Clinical Evaluative Sciences; Statistics Canada; University of Toronto; Hamilton Health Sciences; Juravinski Cancer Centre; Institute of Population and Public Health; McMaster University; Canadian Partnership Against Cancer; St. Michael's Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Health care; Population; Psychological intervention; Microsimulation; Earnings; Medicine; Revenue; Population health; Cancer; Business; Environmental health; Actuarial science; Economics; Nursing; Engineering; Economic growth; Finance; Transport engineering","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":[0.00281358,0.001381936,0.0007523535,0.001319774,0.0009561007,0.002156033,0.003126614,0.0009150648,0.01049491],"category_scores_gemma":[0.01007575,0.0003893729,0.000882698,0.001616302,0.0006495561,0.0008000885,0.0009725319,0.0007928144,0.0007046809],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02529377,"about_ca_system_score_gemma":0.03029575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8506057,"about_ca_topic_score_gemma":0.7436975,"domain_scores_codex":[0.9982771,0.0005640875,0.00005701587,0.000205115,0.000685054,0.0002116462],"domain_scores_gemma":[0.9969102,0.001065231,0.0001949719,0.0001164628,0.001556568,0.000156605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001052612,0.00004195506,0.003885126,0.0001166494,0.00004621121,0.00006328503,0.00003402627,0.9548423,0.0001116705,0.01762203,0.006797644,0.01633385],"study_design_scores_gemma":[0.00006560657,0.00004414079,0.0008889387,0.00003167524,0.0000431448,0.00002031337,0.00002835469,0.9874777,0.000178115,0.003261916,0.007943496,0.00001670212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.197394,0.004406797,0.3349537,0.01202452,0.000634024,0.002725442,0.03077501,0.003418903,0.4136676],"genre_scores_gemma":[0.8734099,0.001693303,0.08919767,0.0005705421,0.00006055427,0.0008062262,0.006425164,0.0001829512,0.02765368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9747062,"threshold_uncertainty_score":0.3005481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0417694703353474,"score_gpt":0.4561862805098479,"score_spread":0.4144168101745005,"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."}}