{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01483232,0.0004691008,0.0003045317,0.000489704,0.001011126,0.001556199,0.001221558,0.001036883,0.004417097],"category_scores_gemma":[0.01744555,0.0002187277,0.0004036141,0.0008367499,0.0008229641,0.001717685,0.003845253,0.001476348,0.002189209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001958071,"about_ca_system_score_gemma":0.004633519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004832211,"about_ca_topic_score_gemma":0.004389016,"domain_scores_codex":[0.9947707,0.003270662,0.0002280092,0.0004427303,0.000673063,0.0006147493],"domain_scores_gemma":[0.9883421,0.004581945,0.0005912876,0.001230153,0.001905222,0.003349245],"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":[0.003330319,0.02393705,0.2117915,0.00113509,0.0002075267,0.002310169,0.0207456,0.004991788,0.005067714,0.001976154,0.04489308,0.6796139],"study_design_scores_gemma":[0.00589741,0.05310979,0.4846703,0.00172724,0.0004677109,0.007692831,0.06305517,0.05595781,0.02613471,0.00961345,0.2912957,0.0003778341],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661006,0.0007507888,0.01154386,0.006043863,0.00008598626,0.003532347,0.003162856,0.001217025,0.007562596],"genre_scores_gemma":[0.9331678,0.0010534,0.04498029,0.00229025,0.000118767,0.002625732,0.009508633,0.0002318868,0.006023182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01483232,"threshold_uncertainty_score":0.07844174,"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."}}