{"id":"W3112492529","doi":"10.1097/01.cot.0000725484.40873.4c","title":"The Role of Regular Mammograms in Finding Interval Breast Cancer","year":2020,"lang":"en","type":"article","venue":"Oncology Times","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Mammography; Cancer; Breast cancer screening; Overdiagnosis; Incidence (geometry); Oncology; Mammography screening; Gynecology; Internal medicine; Medical physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.04629014,0.0006182754,0.0009605588,0.002926928,0.001139044,0.004225002,0.001948786,0.002520551,0.002924191],"category_scores_gemma":[0.1984642,0.0006874412,0.0009912371,0.001792421,0.003540227,0.007764565,0.002325121,0.004751965,0.0008811883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668202,"about_ca_system_score_gemma":0.003200952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008140456,"about_ca_topic_score_gemma":0.009887569,"domain_scores_codex":[0.9760466,0.01510091,0.001700281,0.001946094,0.004652194,0.0005539581],"domain_scores_gemma":[0.8451792,0.1208218,0.01025905,0.006674386,0.01427132,0.002794283],"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":[0.001176279,0.0002571665,0.3702539,0.002129712,0.0005716207,0.0006886157,0.002670298,0.000640834,0.0005165034,0.01260754,0.04081983,0.5676677],"study_design_scores_gemma":[0.0006526334,0.004430118,0.6419586,0.03056632,0.003788664,0.02077444,0.01213069,0.009387176,0.003872751,0.06503826,0.2067505,0.0006499098],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1331191,0.415887,0.01909865,0.3574681,0.008649588,0.0006873306,0.0009163009,0.0004253458,0.06374851],"genre_scores_gemma":[0.8067259,0.1195321,0.0253714,0.03129574,0.01267856,0.0002803726,0.0004239783,0.0001338847,0.003557936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04629014,"threshold_uncertainty_score":0.2448086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04325704059114225,"score_gpt":0.3480346357696882,"score_spread":0.304777595178546,"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."}}