{"id":"W7055004956","doi":"","title":"Assessment of risk and risk factors for hereditary breast cancer & cardiovascular disease: Opportunities for diagnosis and prevention","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Cancer Society Research Institute; National Health and Medical Research Council; Nebraska Department of Health and Human Services; Deutsche Krebshilfe; Cancer Care Ontario; Creighton University; U.S. Department of Health and Human Services","keywords":"Hereditary Cancer; Breast cancer; Mutation; Cancer; Selection (genetic algorithm); Risk factor; Risk assessment; Lifetime risk","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001731515,0.0002374421,0.0003183281,0.001069144,0.0005055527,0.001715927,0.000201313,0.0005054479,0.01194803],"category_scores_gemma":[0.004148101,0.0001367271,0.0002882264,0.0007441693,0.0002726618,0.0005061549,0.0004913121,0.0009050079,0.00262428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006982064,"about_ca_system_score_gemma":0.001803464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001821235,"about_ca_topic_score_gemma":0.003860388,"domain_scores_codex":[0.9996963,0.0001007187,0.00001722732,0.00003929184,0.0001207611,0.00002576537],"domain_scores_gemma":[0.998332,0.0008533917,0.0001818598,0.00005770929,0.0003633726,0.000211737],"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":[0.0001569953,0.0004696572,0.09058252,0.001167105,0.0001095343,0.0001641946,0.001635914,0.000329271,0.001775292,0.01072018,0.1489018,0.7439876],"study_design_scores_gemma":[0.00003868069,0.0005084864,0.5283637,0.005491378,0.0001908602,0.001127212,0.004947765,0.0007589709,0.002092041,0.02503893,0.4313763,0.00006556842],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1403597,0.3777623,0.009101068,0.1525277,0.007330493,0.0005782887,0.0058484,0.0002149147,0.3062773],"genre_scores_gemma":[0.4496658,0.3672547,0.01654873,0.00847659,0.006079198,0.0004240592,0.002606798,0.0001009678,0.1488432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01194803,"threshold_uncertainty_score":0.0399701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04884070710715312,"score_gpt":0.3364362278594365,"score_spread":0.2875955207522834,"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."}}