{"id":"W2904914344","doi":"10.1503/cmaj.181538","title":"Wise guidance and its challenges: the new Canadian recommendations on breast cancer screening","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Breast cancer; Computer science; Data science; Medicine; Cancer; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03584771,0.001339321,0.001669579,0.004870185,0.009609806,0.009125292,0.009340916,0.02425355,0.01681195],"category_scores_gemma":[0.1050694,0.001151534,0.002792307,0.006230884,0.008894936,0.007020692,0.006574329,0.03679426,0.00366658],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05738197,"about_ca_system_score_gemma":0.3507364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.902018,"about_ca_topic_score_gemma":0.960865,"domain_scores_codex":[0.9677333,0.006328924,0.002552599,0.001570441,0.01853399,0.003280817],"domain_scores_gemma":[0.8698884,0.02436206,0.002570329,0.00238584,0.06927158,0.03152183],"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":[0.00001220415,0.00001794816,0.000378569,0.0001692233,0.00001053215,0.00004412614,0.0002087601,0.00009078107,0.0000262929,0.007504542,0.9663154,0.02522168],"study_design_scores_gemma":[0.00006464073,0.00002821312,0.002471202,0.003003738,0.00005284066,0.0001502187,0.0009193651,0.0002999906,0.00004691049,0.009420693,0.98342,0.0001222534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001555985,0.007263756,0.0004785277,0.9772655,0.008042155,0.00003792383,0.0004002842,0.00005751642,0.006298655],"genre_scores_gemma":[0.01086054,0.04089368,0.02350211,0.8887644,0.0149137,0.0002592681,0.002160347,0.0002562944,0.01838968],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.942618,"threshold_uncertainty_score":0.4163373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06215396986125132,"score_gpt":0.3318005123369367,"score_spread":0.2696465424756854,"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."}}