{"id":"W1894863407","doi":"10.1002/ijc.29473","title":"The impact of stratifying by family history in colorectal cancer screening programs","year":2015,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; St. Michael's Hospital; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; Cancer Care Ontario; University of Toronto","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Medicine; Colonoscopy; Sigmoidoscopy; Colorectal cancer; Family history; Fecal occult blood; Colorectal cancer screening; Population; Internal medicine; Cancer; Environmental health","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":[0.008544064,0.0008766748,0.001076506,0.0009439164,0.001026982,0.001279539,0.001675706,0.001494763,0.002341365],"category_scores_gemma":[0.03261813,0.0004766319,0.002430178,0.00162845,0.0007469826,0.001175363,0.001427698,0.0009676841,0.0001438061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007388088,"about_ca_system_score_gemma":0.007271856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3951561,"about_ca_topic_score_gemma":0.3479521,"domain_scores_codex":[0.9914473,0.00515857,0.0002390781,0.001231725,0.0004799595,0.001443302],"domain_scores_gemma":[0.9761099,0.01546139,0.004303721,0.000999114,0.0008108336,0.002315154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002568225,0.0004319798,0.8329498,0.0000765089,0.001316528,0.0003398413,0.0002316325,0.1404934,0.0001885128,0.001390965,0.000893213,0.01911932],"study_design_scores_gemma":[0.0005441038,0.002847179,0.5683053,0.000134031,0.001335267,0.0002087357,0.0006953751,0.4211163,0.0005055134,0.002448878,0.001780882,0.0000784208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949573,0.0005143899,0.001918783,0.0008727832,0.00003646473,0.0000780839,0.0008226292,0.00006610798,0.0007336424],"genre_scores_gemma":[0.9983012,0.00007317244,0.0007725459,0.0001150217,0.0000110248,0.00002579368,0.0003809592,0.000004510305,0.0003156912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3951561,"threshold_uncertainty_score":0.785712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05750250610731918,"score_gpt":0.3705117142140935,"score_spread":0.3130092081067743,"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."}}