{"id":"W2943498246","doi":"10.3747/co.26.4279","title":"Area-Level Income Disparities in Colorectal Screening in Canada: Evidence to Inform Future Surveillance","year":2019,"lang":"en","type":"article","venue":"Current Oncology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research; Fonds de Recherche du Québec-Société et Culture","keywords":"Medicine; Colorectal cancer screening; Colorectal cancer; Family medicine; Environmental health; Colonoscopy; Internal medicine; Cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004666239,0.0003509585,0.0007617783,0.003178854,0.001435746,0.001595444,0.001506977,0.0004852587,0.002442448],"category_scores_gemma":[0.01541497,0.0002454881,0.0007828142,0.007174622,0.001044474,0.0007077301,0.001613466,0.0009063584,0.0001269999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01502695,"about_ca_system_score_gemma":0.03989125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9555506,"about_ca_topic_score_gemma":0.9662502,"domain_scores_codex":[0.9978911,0.0003245567,0.0001410302,0.0002568559,0.0008604162,0.0005259544],"domain_scores_gemma":[0.988204,0.001974233,0.002813108,0.0004220651,0.005234625,0.001351919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008561961,0.00003557802,0.9577035,0.0006698448,0.000353392,0.00004390317,0.0003178501,0.0001867386,0.00002899438,0.0006727006,0.004530446,0.03537144],"study_design_scores_gemma":[0.00003136948,0.00002547637,0.991423,0.001645426,0.000470115,0.00004397105,0.0006042541,0.0005435277,0.000050615,0.0004541188,0.004693093,0.00001512344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7829544,0.1401877,0.001451958,0.02217049,0.0003661961,0.0003197021,0.02345148,0.00008937628,0.02900865],"genre_scores_gemma":[0.9609563,0.0325827,0.001046122,0.001211778,0.0001070232,0.00006923977,0.003647507,0.00001191257,0.0003673506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04444939,"threshold_uncertainty_score":0.1090286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09972928268608516,"score_gpt":0.3571365120211816,"score_spread":0.2574072293350965,"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."}}