{"id":"W2144253091","doi":"10.1186/bcr3248","title":"Tumour morphology of early-onset breast cancers predicts breast cancer risk for first-degree relatives: the Australian Breast Cancer Family Registry","year":2012,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; National Cancer Institute; National Institutes of Health; Cancer Australia; National Breast Cancer Foundation; University of Melbourne; Huntsman Cancer Institute; National Health and Medical Research Council; Cancer Care Ontario","keywords":"Breast cancer; Medicine; Oncology; First-degree relatives; Internal medicine; Population; Cancer; Lobular carcinoma; Cancer registry; Incidence (geometry); Gynecology; Pathology; Family history; Ductal carcinoma","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002063463,0.0008478122,0.001332265,0.0005444472,0.0009638975,0.0001069743,0.001127011,0.0006171292,0.002606939],"category_scores_gemma":[0.00008392125,0.000622949,0.0005886581,0.001709019,0.002190098,0.0005994058,0.0003856777,0.002387628,0.00004396115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003448059,"about_ca_system_score_gemma":0.004138718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.324066,"about_ca_topic_score_gemma":0.0156126,"domain_scores_codex":[0.9920253,0.0005308838,0.001122997,0.001288603,0.002058525,0.002973734],"domain_scores_gemma":[0.993866,0.0005837022,0.0007612715,0.001566275,0.001895459,0.001327311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009271184,0.0003855591,0.8405576,0.0006870417,0.001049734,0.0000268747,0.002250967,0.0002100253,0.002485843,0.00006145922,0.1138911,0.02912268],"study_design_scores_gemma":[0.004617779,0.0002608935,0.9804535,0.001481401,0.0005835555,0.001997812,0.001903552,0.0001233154,0.0003526147,0.00007353465,0.007524682,0.0006273557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8959041,0.005233025,0.00003501954,0.02558743,0.001318265,0.00296368,0.06825307,0.0001267145,0.0005787241],"genre_scores_gemma":[0.9825994,0.007081883,0.00005279047,0.0003430375,0.003549315,0.003137724,0.0001118771,0.0002413115,0.002882637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3084535,"threshold_uncertainty_score":0.9999139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09970739547141469,"score_gpt":0.3946980517859335,"score_spread":0.2949906563145188,"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."}}