{"id":"W2966346124","doi":"10.1200/cci.19.00032","title":"Learning Health System for Breast Cancer: Pilot Project Experience","year":2019,"lang":"en","type":"article","venue":"JCO Clinical Cancer Informatics","topic":"AI in cancer detection","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada); McMaster University","funders":"","keywords":"Breast cancer; Timeline; Stage (stratigraphy); Medicine; Chart; Medical record; Cancer; Artificial intelligence; Oncology; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001357424,0.0002462696,0.0005658864,0.0001118894,0.0002599796,0.0002216099,0.001030534,0.0001259377,0.00003424875],"category_scores_gemma":[0.00006987323,0.0002186005,0.0001714697,0.0005490209,0.00007501794,0.001225468,0.000217603,0.0005131834,0.00007055125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006809845,"about_ca_system_score_gemma":0.001338336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009559192,"about_ca_topic_score_gemma":0.0001511263,"domain_scores_codex":[0.9967831,0.0001199616,0.001575489,0.0003726469,0.0005365881,0.0006122596],"domain_scores_gemma":[0.9973197,0.0004194903,0.001076503,0.0006941553,0.0002952733,0.0001948785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002676854,0.00007732846,0.05713617,0.002236266,0.00007417112,6.867809e-7,0.007730392,0.009203758,0.000006669871,0.002156378,0.004805961,0.9163045],"study_design_scores_gemma":[0.003361244,0.003154135,0.01933411,0.001044996,0.00002445458,0.00005352135,0.00348384,0.8739929,0.0001487059,0.00007896202,0.09448147,0.0008417096],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1596272,0.001049542,0.7982595,0.004674926,0.02288455,0.006651268,0.000317723,0.002198388,0.004336922],"genre_scores_gemma":[0.9694495,0.0008708967,0.02511228,0.002536796,0.0008145836,0.0007226787,0.00000564714,0.0000316574,0.0004559406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9154629,"threshold_uncertainty_score":0.8914268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09098198724353973,"score_gpt":0.4211197638589951,"score_spread":0.3301377766154553,"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."}}