{"id":"W1805718998","doi":"10.3747/co.22.2882","title":"Utilization of Magnetic Resonance Imaging in Breast Cancer Screening","year":2015,"lang":"en","type":"article","venue":"Current Oncology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Magnetic resonance imaging; Breast cancer; Cancer; Mammography; Medical physics; Radiology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002116958,0.0001915608,0.0003019215,0.001429586,0.0003467212,0.001064563,0.0005055315,0.0008942023,0.002808745],"category_scores_gemma":[0.01047916,0.0001503954,0.000312037,0.002071922,0.0004402093,0.0009253809,0.0004188712,0.001496303,0.0004896111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009039316,"about_ca_system_score_gemma":0.002675754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01045107,"about_ca_topic_score_gemma":0.01936577,"domain_scores_codex":[0.9983881,0.0008002446,0.0001569008,0.0001109944,0.0003963331,0.0001474793],"domain_scores_gemma":[0.9965654,0.001082952,0.001074363,0.0001027615,0.0008642391,0.0003103189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000342676,0.0005243496,0.2602725,0.002067678,0.0003078382,0.00145426,0.0005778961,0.0008784176,0.001796657,0.006383805,0.07305073,0.6523431],"study_design_scores_gemma":[0.0001013401,0.001277215,0.6558792,0.008949454,0.0007717881,0.01146681,0.002267648,0.003065633,0.002941899,0.01150687,0.3016158,0.0001563009],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1360873,0.6224246,0.003074599,0.1616136,0.006094862,0.000100856,0.0008421411,0.0001075305,0.06965452],"genre_scores_gemma":[0.5126619,0.4522943,0.00340647,0.01602113,0.01182738,0.00005686838,0.000454092,0.00002595223,0.00325187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01045107,"threshold_uncertainty_score":0.0207805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1916827062045109,"score_gpt":0.4505578793800083,"score_spread":0.2588751731754974,"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."}}