{"id":"W4361816260","doi":"10.1158/1055-9965.c.6515772","title":"Data from Differences in Natural History between Breast Cancers in &lt;i&gt;BRCA1&lt;/i&gt; and &lt;i&gt;BRCA2&lt;/i&gt; Mutation Carriers and Effects of MRI Screening-MRISC, MARIBS, and Canadian Studies Combined","year":2023,"lang":"en","type":"preprint","venue":"","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; 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":[0.005789384,0.0004236155,0.0006863869,0.00512686,0.001039706,0.0009136796,0.001329586,0.0004575257,0.003009847],"category_scores_gemma":[0.01609345,0.0004114323,0.003241965,0.006252502,0.0009087083,0.000490292,0.000920946,0.0005642088,0.0002122977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007007016,"about_ca_system_score_gemma":0.01082748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.805428,"about_ca_topic_score_gemma":0.8429997,"domain_scores_codex":[0.996265,0.00091131,0.0005933821,0.0007334866,0.001070907,0.0004259757],"domain_scores_gemma":[0.9805484,0.00580595,0.005565691,0.002277109,0.004247546,0.001555235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005502414,0.00001093005,0.9922987,0.0002449093,0.001483641,0.00007730306,0.0002546702,0.0001951379,0.0001603597,0.000225496,0.0006008908,0.003897805],"study_design_scores_gemma":[0.00003465236,0.00005220074,0.996542,0.0001099564,0.001073432,0.0001306115,0.0002395422,0.000100228,0.0001095691,0.00007106664,0.001525083,0.00001158684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9406263,0.01969039,0.0008578669,0.0007952099,0.00004336925,0.0002804481,0.02817323,0.00003954336,0.009493539],"genre_scores_gemma":[0.9887692,0.00256301,0.0003053091,0.000181536,0.00001269906,0.0001155098,0.007003266,0.00001652039,0.001032937],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.194572,"threshold_uncertainty_score":0.3914358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02930948990433709,"score_gpt":0.2707612442419662,"score_spread":0.2414517543376291,"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."}}