{"id":"W4414015628","doi":"10.11159/icbes25.185","title":"REBECCA: A System for Real World Behavioural Data in Breast Cancer Clinical Research and Patient Care","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Breast cancer; Cancer; Computer science; Patient care; Medicine; Nursing; 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":[0.006298034,0.00203312,0.001716708,0.0041403,0.0009122425,0.004077398,0.004130448,0.00147803,0.01909514],"category_scores_gemma":[0.02703138,0.0009812275,0.001218389,0.003614813,0.0006680625,0.003295088,0.005535049,0.001866119,0.009674532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003322943,"about_ca_system_score_gemma":0.009772302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05470496,"about_ca_topic_score_gemma":0.05175575,"domain_scores_codex":[0.9946731,0.001642716,0.000581778,0.001454873,0.001278005,0.0003696522],"domain_scores_gemma":[0.987527,0.004749299,0.001052174,0.002897224,0.002381188,0.001393143],"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":[0.004056695,0.0005116357,0.02741593,0.002450972,0.0008266027,0.0007386745,0.001910737,0.006039475,0.007869192,0.01139279,0.5873705,0.3494169],"study_design_scores_gemma":[0.001125296,0.0006037058,0.04528505,0.00179568,0.0004692886,0.0008166021,0.0007190473,0.07320318,0.007951071,0.02324661,0.8437973,0.0009872295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.03122493,0.00480118,0.2251349,0.008042798,0.001974692,0.009174098,0.1841982,0.4815511,0.05389823],"genre_scores_gemma":[0.2953649,0.0038193,0.4336158,0.01103255,0.001017323,0.01376369,0.1905427,0.01881796,0.0320258],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05470496,"threshold_uncertainty_score":0.1087731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03469762662710434,"score_gpt":0.330365467757563,"score_spread":0.2956678411304586,"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."}}