{"id":"W2998871502","doi":"10.1093/aje/161.supplement_1.s15c","title":"060-S: Association Between Subject Factors and Colorectal Cancer Screening Participation in Ontario, Canada","year":2005,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario","funders":"","keywords":"Colorectal cancer; Medicine; Subject (documents); Association (psychology); Demography; Gerontology; Colorectal cancer screening; Environmental health; Family medicine; Oncology; Cancer; Internal medicine; Library science; Psychology; Colonoscopy; Sociology","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":[0.0005906229,0.0002705459,0.0003418732,0.0008230406,0.001555394,0.0008020072,0.001137322,0.0006541191,0.003905144],"category_scores_gemma":[0.002292326,0.0003262283,0.0006265273,0.002111136,0.0004939935,0.0002443959,0.0006281027,0.0007737332,0.0003548021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01108934,"about_ca_system_score_gemma":0.01991438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915977,"about_ca_topic_score_gemma":0.9954244,"domain_scores_codex":[0.9991828,0.00007901698,0.00007031066,0.0001010238,0.0003398327,0.0002270942],"domain_scores_gemma":[0.9968579,0.0002005784,0.0005566456,0.00007596693,0.001091429,0.001217607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001040299,0.00002770507,0.9957969,0.00002050063,0.00005158539,0.00005687585,0.0002708268,0.00003416399,0.0001552504,0.0000477809,0.002003488,0.001430949],"study_design_scores_gemma":[0.000005020396,0.00001321773,0.9991078,0.00001167689,0.00001315317,0.00001821171,0.0002473096,0.00006885882,0.00001778916,0.000006110518,0.000487431,0.000003422258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854998,0.001014518,0.00009769169,0.001193737,0.00005365094,0.00004942707,0.007381801,0.00001654848,0.004692715],"genre_scores_gemma":[0.9931352,0.0004654053,0.0001032073,0.0002334601,0.00001975314,0.00002025905,0.001785522,0.000009850675,0.004227426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01108934,"threshold_uncertainty_score":0.08045918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04006977594948485,"score_gpt":0.3339731029892232,"score_spread":0.2939033270397383,"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."}}