{"id":"W4241332628","doi":"10.1007/bf03405629","title":"Optimizing Canadian Breast Cancer Screening Strategies: A Perspective for Action","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto; Public Health Ontario","funders":"","keywords":"Medicine; Breast cancer; Breast cancer screening; Context (archaeology); Population; Gynecology; Humanities; Cancer; Mammography; Internal medicine; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02979641,0.003546935,0.003403531,0.004116633,0.01557533,0.02810342,0.01090444,0.05233938,0.04294546],"category_scores_gemma":[0.04680577,0.001306909,0.004347624,0.004539987,0.01293843,0.0104205,0.009054875,0.03955218,0.00354693],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1284103,"about_ca_system_score_gemma":0.576916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9179086,"about_ca_topic_score_gemma":0.947092,"domain_scores_codex":[0.9679509,0.008300758,0.001184127,0.001453986,0.00937785,0.01173236],"domain_scores_gemma":[0.8979824,0.01299662,0.001823395,0.001091484,0.04326287,0.04284324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001894575,0.0002776754,0.002291521,0.0009902982,0.0002110502,0.0004118936,0.001542873,0.001566641,0.0004332488,0.05224469,0.9048462,0.03499445],"study_design_scores_gemma":[0.0004934218,0.0002093388,0.006290423,0.004358026,0.0004442679,0.0002691244,0.02097632,0.001713324,0.0005176478,0.05373933,0.9105522,0.0004364489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003691339,0.008993994,0.0004623124,0.9800656,0.003043656,0.00002319058,0.0001316459,0.0000601456,0.00685031],"genre_scores_gemma":[0.07190458,0.07296448,0.01858673,0.8017016,0.01229779,0.0002755493,0.0007741739,0.0002049463,0.02129018],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8715897,"threshold_uncertainty_score":0.931686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.254209696908738,"score_gpt":0.4250662197474627,"score_spread":0.1708565228387247,"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."}}