{"id":"W2145926154","doi":"","title":"EDITORIALS Biomarkers in Benign Breast Disease: Risk Factors for Breast Cancer","year":2015,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Medicine; Breast disease; Disease; Risk factors for breast cancer; Oncology; Internal medicine; Cancer","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":[0.004439391,0.003976955,0.003294174,0.004188447,0.002016084,0.005216252,0.004515482,0.009532236,0.02190762],"category_scores_gemma":[0.01927018,0.001294166,0.002868805,0.001634911,0.002217153,0.003808049,0.001068522,0.01269563,0.01394206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002643914,"about_ca_system_score_gemma":0.001975472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001684105,"about_ca_topic_score_gemma":0.002218544,"domain_scores_codex":[0.9963015,0.000609789,0.000557556,0.0005480875,0.001696463,0.0002866209],"domain_scores_gemma":[0.9748132,0.01090386,0.001710263,0.0007489845,0.008444409,0.003379328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000100135,0.00003772315,0.0001350034,0.0003706407,0.00003082726,0.0001462104,0.00001264438,0.00004034444,0.0000686502,0.0002845816,0.9905024,0.008270921],"study_design_scores_gemma":[0.0001295562,0.0001176328,0.001057673,0.0007729292,0.0001046638,0.000633156,0.00005765839,0.0002856537,0.0002234316,0.001339827,0.9952413,0.00003657068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007689181,0.005637362,0.0001170147,0.01973026,0.9729961,0.0000226104,0.00009026254,0.00008270059,0.001246735],"genre_scores_gemma":[0.0003678952,0.003052056,0.00006431642,0.009819732,0.9834057,0.00001384384,0.00004952873,0.00002288403,0.003204055],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02190762,"threshold_uncertainty_score":0.07328832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04322936397614539,"score_gpt":0.2776208511047794,"score_spread":0.2343914871286339,"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."}}