{"id":"W1195715571","doi":"10.1038/bjc.2015.271","title":"TLE3 is not a predictive biomarker for taxane sensitivity in the NCIC CTG MA.21 clinical trial","year":2015,"lang":"en","type":"article","venue":"British Journal of Cancer","topic":"Wnt/β-catenin signaling in development and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; Juravinski Cancer Centre; Saint John Regional Hospital; McMaster University; Queen's University; University of British Columbia; BC Cancer Agency; Ontario Institute for Cancer Research","funders":"National Cancer Institute; National Institutes of Health; Canadian Cancer Society Research Institute; Government of Ontario; Ontario Institute for Cancer Research","keywords":"Medicine; Biomarker; Internal medicine; Taxane; Clinical trial; Oncology; Predictive value; Bioinformatics; Breast cancer; Cancer; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002541231,0.0004040998,0.00111935,0.0001937231,0.0002146658,0.0007995638,0.0004860853,0.0008006975,0.00283782],"category_scores_gemma":[0.004345071,0.0001269957,0.0008157686,0.0003500353,0.0004821697,0.0006941202,0.0002692011,0.00122438,0.0004621275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008077798,"about_ca_system_score_gemma":0.001034288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000664152,"about_ca_topic_score_gemma":0.003017338,"domain_scores_codex":[0.9991983,0.0004843005,0.00005673432,0.00008868636,0.000100548,0.00007152056],"domain_scores_gemma":[0.9978929,0.0009151237,0.0005721616,0.0001657604,0.0001300984,0.0003239061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.6344271,0.001689484,0.1444993,0.002255852,0.004383991,0.0004425856,0.0002416796,0.009091132,0.02117684,0.001668891,0.01325551,0.1668676],"study_design_scores_gemma":[0.1608551,0.1913161,0.5520518,0.001018878,0.009705964,0.002684887,0.0001852342,0.02404568,0.01322792,0.004262517,0.04046591,0.0001799531],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791418,0.0110648,0.0004438855,0.001463243,0.00009317976,0.0003464691,0.001343481,0.00004666306,0.006056472],"genre_scores_gemma":[0.9958304,0.0008371839,0.0003026351,0.0004875368,0.00007088901,0.0003558848,0.001180613,0.00001002605,0.0009249816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00283782,"threshold_uncertainty_score":0.01343948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07907511513273946,"score_gpt":0.374545435195704,"score_spread":0.2954703200629645,"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."}}