{"id":"W4252201567","doi":"10.1136/jmg.2007.050013corr1","title":"Correction","year":2008,"lang":"en","type":"article","venue":"Journal of Medical Genetics","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital","funders":"","keywords":"Computer science; Computational biology; Information retrieval; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002890844,0.00005905244,0.00009069304,0.00003866391,0.00004377119,0.00000450487,0.0002208984,0.0001547119,0.0001273252],"category_scores_gemma":[0.0003867038,0.00005076131,0.00007528006,0.00006982565,0.0001007024,0.00000128941,0.0000436669,0.000165465,0.000007452055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002676844,"about_ca_system_score_gemma":0.0006221866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000117134,"about_ca_topic_score_gemma":0.000003760571,"domain_scores_codex":[0.9989607,0.00003781032,0.0002691949,0.00007688521,0.0005573203,0.00009809711],"domain_scores_gemma":[0.9994062,0.00001529361,0.0001364597,0.0001197728,0.000180513,0.0001417391],"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":[0.0001140084,0.0001944143,0.01285609,0.00001089,0.0001643363,0.0001513294,0.0002789939,0.001451585,0.05675631,0.00001521739,0.8483922,0.07961458],"study_design_scores_gemma":[0.001203533,0.0008484637,0.01380695,0.00003756419,0.00003427609,0.005681681,0.0001186705,0.000902374,0.1564952,0.00006703588,0.8206334,0.0001708539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705671,0.004216238,0.01936664,0.001117735,0.003516784,0.00003441858,0.000001073699,0.000002961496,0.001177022],"genre_scores_gemma":[0.9885173,0.005688617,0.002523051,0.0006261187,0.001815069,0.000001049449,0.000003049195,0.0000122792,0.0008134628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09973887,"threshold_uncertainty_score":0.2069986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715781253433291,"score_gpt":0.2978429231262278,"score_spread":0.2806851105918949,"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."}}