{"id":"W4388673072","doi":"10.46747/cfp.6911767","title":"Debunking myths about screening","year":2023,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Alberta; CancerCare Manitoba; McGill University; University of Calgary; McGill University Health Centre; Public Health Ontario; Research Institute in Oncology and Hematology; Université du Québec","funders":"","keywords":"Mythology; Computer science; Health screening; Data science; Medicine; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01878936,0.0005201418,0.0007723221,0.002110211,0.01337414,0.005294501,0.001880628,0.008066763,0.004331808],"category_scores_gemma":[0.0606046,0.0004244162,0.0005590743,0.001895287,0.03827705,0.007001309,0.003219958,0.02674357,0.0007416967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02827631,"about_ca_system_score_gemma":0.02676228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1982115,"about_ca_topic_score_gemma":0.2496485,"domain_scores_codex":[0.9848497,0.006166534,0.0005819671,0.0008715499,0.00631719,0.001213022],"domain_scores_gemma":[0.939469,0.04165346,0.003774762,0.00116144,0.009885997,0.004055375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001192393,0.00008456459,0.007858999,0.001334864,0.00009754623,0.001832984,0.07845405,0.0002815083,0.0006467004,0.1447013,0.6035255,0.1610628],"study_design_scores_gemma":[0.0000441512,0.00007835766,0.007151222,0.008800114,0.00006694486,0.003760411,0.0459572,0.0002557956,0.000441628,0.07197396,0.861287,0.0001832944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004280013,0.04729002,0.0005942309,0.92627,0.004826955,0.00001368176,0.00005471349,0.00002132101,0.01664899],"genre_scores_gemma":[0.2049622,0.1171935,0.001735175,0.6568712,0.01438146,0.00005250104,0.00009960544,0.00007619983,0.004628185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1982115,"threshold_uncertainty_score":0.3941156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02964457010944681,"score_gpt":0.2625745617247868,"score_spread":0.23292999161534,"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."}}