{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001123991,0.000141732,0.0002028724,0.0004072752,0.0002503039,0.00004155362,0.00008221193,0.00007985363,0.000004722328],"category_scores_gemma":[0.00002057293,0.000154138,0.0001123733,0.001050545,0.00004100916,0.00008262003,0.00001834627,0.0002190237,0.0003926707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002346509,"about_ca_system_score_gemma":0.0003381356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0209464,"about_ca_topic_score_gemma":0.01404769,"domain_scores_codex":[0.9988368,0.00001835137,0.0001383587,0.0002798616,0.0002033693,0.0005232607],"domain_scores_gemma":[0.9991376,0.00002856085,0.00003540394,0.0002525263,0.00006972954,0.000476133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002197523,0.00001090168,0.0009360794,0.00004679712,0.0000924121,0.0002727598,0.0002696478,0.0001719481,0.00864891,0.0001814871,0.0523173,0.936832],"study_design_scores_gemma":[0.001351996,0.0007986769,0.4790531,0.0005063982,0.0001179168,0.00001313428,0.002233035,0.007684924,0.002770915,0.0002591252,0.5046079,0.0006029],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5854139,0.0006071509,0.0003887688,0.001131822,0.0006819452,0.0003451736,0.00003156128,0.0006835867,0.4107161],"genre_scores_gemma":[0.9636055,0.00001227812,0.0002064417,0.03433275,0.0006318453,0.00002872997,0.00006312206,0.00004345789,0.001075928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9362291,"threshold_uncertainty_score":0.9855732,"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."}}