{"id":"W2568529040","doi":"10.9778/cmajo.20160043","title":"Cancer incidence attributable to insufficient fibre consumption in Alberta in 2012","year":2017,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"","keywords":"Colorectal cancer; Medicine; Incidence (geometry); Consumption (sociology); Population; Cancer registry; Attributable risk; Relative risk; Cancer; Demography; Environmental health; Internal medicine; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002953362,0.00008439352,0.0002265671,0.0001004427,0.0001101018,0.0001096723,0.0002609346,0.0000643746,0.00029364],"category_scores_gemma":[0.0002806589,0.00007998527,0.00001997439,0.0001312276,0.00002834984,0.0003362484,0.000322363,0.0001546568,0.0001352109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003073325,"about_ca_system_score_gemma":0.0001257466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2013274,"about_ca_topic_score_gemma":0.2703768,"domain_scores_codex":[0.9992061,0.00002317075,0.000169007,0.000260311,0.0001287914,0.000212576],"domain_scores_gemma":[0.9993653,0.00003776027,0.00007128322,0.0003858962,0.00003831893,0.0001014187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001833781,0.00007206574,0.9707961,0.00003439022,0.000005584317,0.00001981021,0.0006124602,0.0002718106,0.0008682645,0.00003570395,0.00168468,0.02376535],"study_design_scores_gemma":[0.001273837,0.0003835468,0.9806295,0.0005469609,0.000007798211,0.00001104931,0.0000362596,0.0006305443,0.00284857,0.00002255894,0.01349896,0.0001104225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991639,0.0002248692,0.00006128827,0.002527035,0.0002472226,0.0007527785,0.000005529786,0.000009757435,0.004532528],"genre_scores_gemma":[0.9953668,0.00004607003,0.0001495168,0.0003354246,0.00005627219,0.000201003,0.000004791642,0.000008758319,0.003831438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06904936,"threshold_uncertainty_score":0.803991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0641829408794785,"score_gpt":0.3712765090608894,"score_spread":0.3070935681814109,"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."}}