{"id":"W2075656041","doi":"10.1136/bmj.e2829","title":"Landmark study classifies breast cancer into 10 genetic types","year":2012,"lang":"en","type":"article","venue":"BMJ","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landmark; Breast cancer; Computational biology; Cancer; Medicine; Computer science; Biology; Artificial intelligence; Internal medicine","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":[0.003108388,0.0006589662,0.001108844,0.006115505,0.000561415,0.0009709783,0.0009684819,0.0006347649,0.003890544],"category_scores_gemma":[0.006777643,0.0002667995,0.001419933,0.004852054,0.0005670324,0.000744401,0.001168298,0.0009183353,0.002489263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448833,"about_ca_system_score_gemma":0.001057803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02677353,"about_ca_topic_score_gemma":0.04680017,"domain_scores_codex":[0.9984609,0.0004541112,0.0001708739,0.000221175,0.0005632055,0.0001297138],"domain_scores_gemma":[0.995356,0.001471199,0.0008011539,0.0005172029,0.001524486,0.0003300278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003027645,0.0001108541,0.7045116,0.0008493259,0.001136362,0.000215744,0.0004172027,0.0003814167,0.002685606,0.003433715,0.1092398,0.1739907],"study_design_scores_gemma":[0.000664311,0.001087921,0.7490994,0.0008333069,0.001911341,0.00149899,0.000991698,0.001139806,0.003262059,0.004706638,0.2346705,0.000134058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6086875,0.04567059,0.04127796,0.02497328,0.004699277,0.00278354,0.1712766,0.002068267,0.09856291],"genre_scores_gemma":[0.7926622,0.01971902,0.04322732,0.006985462,0.001322348,0.001727103,0.08236136,0.000583013,0.05141218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02677353,"threshold_uncertainty_score":0.05323535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173778036000539,"score_gpt":0.3240722647802709,"score_spread":0.306694461180217,"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."}}