{"id":"W1994944692","doi":"10.1186/1471-2407-14-537","title":"Evaluating the impact of public health initiatives on trends in fecal occult blood test participation in Ontario","year":2014,"lang":"en","type":"article","venue":"BMC Cancer","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Sunnybrook Hospital; Institute for Clinical Evaluative Sciences; Cancer Care Ontario; Public Health Ontario; University of Toronto; University Health Network","funders":"Canadian Cancer Society Research Institute; Cancer Care Ontario","keywords":"Medicine; Fecal occult blood; Public health; Randomized controlled trial; Test (biology); Quarter (Canadian coin); Demography; Health care; Colorectal cancer; Gerontology; Health policy; Health services research; Incentive; Surgery; Political science; Nursing; Cancer; Geography; Internal medicine; Colonoscopy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009320742,0.0004214094,0.0006032292,0.001426386,0.001447294,0.001118773,0.001601152,0.0006044867,0.002154109],"category_scores_gemma":[0.03590666,0.0003679945,0.001502963,0.00328625,0.0008094493,0.0008677366,0.001509652,0.0006688317,0.0001726894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04610592,"about_ca_system_score_gemma":0.08109678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9674621,"about_ca_topic_score_gemma":0.9706643,"domain_scores_codex":[0.9917606,0.002725971,0.0004992231,0.000705636,0.002599064,0.001709325],"domain_scores_gemma":[0.9611679,0.007502652,0.01504,0.00116415,0.01042646,0.004698809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001221687,0.0002805351,0.9654402,0.0005859429,0.0005036269,0.00005720097,0.002323459,0.0009306384,0.0002299034,0.0004014281,0.002823686,0.02520171],"study_design_scores_gemma":[0.00009909423,0.0003606464,0.9953695,0.0001021043,0.0001747051,0.000007489543,0.0006629944,0.0007664342,0.0001253952,0.00005646413,0.002262712,0.00001260918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797106,0.00226258,0.0008851676,0.003078828,0.00004855203,0.0006307947,0.007546673,0.00005435304,0.005782536],"genre_scores_gemma":[0.9948981,0.0006329824,0.0009064954,0.0002302291,0.00002467315,0.0004676774,0.001621988,0.000008295146,0.001209665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04610592,"threshold_uncertainty_score":0.3345234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2389030587187788,"score_gpt":0.4761568761294259,"score_spread":0.2372538174106471,"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."}}