{"id":"W4249137086","doi":"10.1097/fpc.0b013e3283335277","title":"Taxane pathway","year":2009,"lang":"en","type":"article","venue":"Pharmacogenetics and Genomics","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute","funders":"National Institute of General Medical Sciences","keywords":"Taxane; Biology; Genetics; Cancer; Breast cancer","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":[0.00009715968,0.000479215,0.0002782359,0.0004787023,0.0005122974,0.001064016,0.0003900682,0.0003824078,0.03921488],"category_scores_gemma":[0.0001861888,0.0001373842,0.0004071747,0.0002753712,0.0001305051,0.0005150889,0.0005424951,0.0008816285,0.009635149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008575782,"about_ca_system_score_gemma":0.0009928874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001986007,"about_ca_topic_score_gemma":0.002912077,"domain_scores_codex":[0.9998834,0.000008533516,0.000006267521,0.00002945817,0.00005024546,0.00002198053],"domain_scores_gemma":[0.9999313,0.000004259305,0.0000129441,0.000007717983,0.00002280615,0.00002089531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001254954,0.0002992004,0.004037261,0.001434827,0.0001257988,0.001616516,0.0002233404,0.0008009108,0.3976396,0.04916431,0.11973,0.4236734],"study_design_scores_gemma":[0.0001784188,0.0003366042,0.009688041,0.0002520607,0.0001096571,0.003301134,0.0001395007,0.0008114115,0.1531761,0.00805861,0.8239211,0.00002739235],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2207577,0.1374215,0.02636196,0.02266163,0.004971881,0.001149869,0.04431212,0.002685735,0.5396775],"genre_scores_gemma":[0.4310938,0.09357767,0.008468475,0.002414672,0.0004579726,0.0002685154,0.02039654,0.0001938129,0.4431286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03921488,"threshold_uncertainty_score":0.1311868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899387428273902,"score_gpt":0.3110434663305991,"score_spread":0.2920495920478601,"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."}}