{"id":"W2150557592","doi":"10.1200/jop.2011.000413","title":"Improving Work-Up of the Abnormal Mammogram Through Organized Assessment: Results From the Ontario Breast Screening Program","year":2012,"lang":"en","type":"article","venue":"Journal of Oncology Practice","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre; Health Sciences Centre; University of Toronto; Cancer Care Ontario; Sunnybrook Health Science Centre; St. Michael's Hospital","funders":"Cancer Care Ontario","keywords":"Medicine; Mammography; Medical physics; MEDLINE; Work (physics); Medical education; Family medicine; Breast cancer; Data science; Internal medicine; Cancer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003633753,0.0001804047,0.0005097995,0.00003647642,0.0002419499,0.00005222662,0.0004455329,0.0002086048,0.0001186756],"category_scores_gemma":[0.002564392,0.00009779352,0.0002404204,0.0004430346,0.0001910066,0.001429995,0.0001986326,0.001839431,0.000004806324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005903877,"about_ca_system_score_gemma":0.00149728,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01615464,"about_ca_topic_score_gemma":0.002213903,"domain_scores_codex":[0.997058,0.0005653551,0.0009740375,0.0001563552,0.000805053,0.0004411995],"domain_scores_gemma":[0.9940459,0.001909849,0.00265038,0.0004037756,0.0008280031,0.0001621335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01868939,0.001510051,0.5784943,0.00001969205,0.001297182,0.0002375026,0.01416531,0.00004372074,0.001302166,0.0001393418,0.0103534,0.373748],"study_design_scores_gemma":[0.006947976,0.001558772,0.7011936,0.0003421697,0.001809879,0.006966557,0.007811006,0.00001995213,0.0002771139,0.00002269737,0.2729132,0.0001370616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501426,0.001093747,0.001742883,0.02885972,0.002248034,0.0007413662,0.00001673868,0.00002932713,0.01512563],"genre_scores_gemma":[0.9022048,0.00005143666,0.09401847,0.00235779,0.001126626,0.000005361532,0.00000507558,0.0000177367,0.0002127408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3736109,"threshold_uncertainty_score":0.9903969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08183620142664995,"score_gpt":0.3997001860462163,"score_spread":0.3178639846195663,"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."}}