{"id":"W2149989622","doi":"10.1200/jco.2014.59.3160","title":"<i>PIK3CA</i> Genotype and Treatment Decisions in Human Epidermal Growth Factor Receptor 2–Positive Breast Cancer","year":2015,"lang":"en","type":"letter","venue":"Journal of Clinical Oncology","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Medicine; Genotyping; Personalized medicine; Breast cancer; Exome sequencing; Precision medicine; Multiplex; Genotype; Exome; Epidermal growth factor receptor; Human Epidermal Growth Factor Receptor 2; Oncology; Bioinformatics; Internal medicine; Cancer; Mutation; Genetics; Gene; Pathology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001200677,0.0003237789,0.0006945725,0.0005794957,0.001112625,0.001027811,0.0006866637,0.007073481,0.001933129],"category_scores_gemma":[0.008103632,0.0003187718,0.000402736,0.0005091752,0.0009946997,0.001034562,0.0003758266,0.005391327,0.001335764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002507785,"about_ca_system_score_gemma":0.001111821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002839804,"about_ca_topic_score_gemma":0.005101447,"domain_scores_codex":[0.9991964,0.0004567772,0.00008783664,0.00006640933,0.0001072219,0.00008550817],"domain_scores_gemma":[0.9978145,0.001408386,0.0001411975,0.00007364132,0.0002841722,0.0002780162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001004989,0.0002791708,0.0414837,0.0002672423,0.00009805415,0.07534698,0.0005528235,0.001796768,0.001651443,0.004913551,0.747689,0.1249163],"study_design_scores_gemma":[0.000961921,0.00119297,0.06731162,0.001656052,0.0004117046,0.3460101,0.002278245,0.02711162,0.003349161,0.08214597,0.4673738,0.0001969622],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02874072,0.006341811,0.000603623,0.9465069,0.00624043,0.00003966642,0.0001473946,0.00006391157,0.01131552],"genre_scores_gemma":[0.4103806,0.01409157,0.002997889,0.4779511,0.08078659,0.0001225062,0.0002609816,0.00005185349,0.01335685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007073481,"threshold_uncertainty_score":0.01819539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1385381943166603,"score_gpt":0.468478089078549,"score_spread":0.3299398947618887,"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."}}