{"id":"W2947012155","doi":"10.1200/jco.2019.37.15_suppl.tps3170","title":"Leeomic: A comprehensive proteomic analysis towards discovery of predictive patterns of protein expression to ribociclib sensitivity and resistance—A compLEEment-1 Canadian correlative sub-study.","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Novartis (Canada); Grand River Hospital; Université Laval; University of Alberta; BC Cancer Agency; Ottawa Hospital; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Breast cancer; Oncology; Proteome; Internal medicine; Population; Proteomics; Cancer; Letrozole; Metastatic breast cancer; Biomarker; Bioinformatics; Biology; Tamoxifen; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001897921,0.0008925216,0.0007025172,0.001443607,0.00134685,0.0008416862,0.0009589188,0.0006943829,0.001859228],"category_scores_gemma":[0.001453159,0.0004192474,0.0006409953,0.001837579,0.0007597513,0.0002731231,0.001013601,0.00112997,0.0003674932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006675736,"about_ca_system_score_gemma":0.01425682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.427202,"about_ca_topic_score_gemma":0.6389426,"domain_scores_codex":[0.9991323,0.0001084833,0.0000257695,0.0001700072,0.0003747923,0.0001886478],"domain_scores_gemma":[0.9983513,0.00009670797,0.0001841022,0.0001303156,0.000696793,0.0005407009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0419434,0.005443681,0.4732537,0.001337152,0.003185889,0.00193338,0.001453611,0.003018684,0.2461854,0.001229376,0.05402346,0.1669923],"study_design_scores_gemma":[0.002800575,0.005568396,0.9384232,0.00006645713,0.0009758078,0.002116414,0.0005363899,0.001894245,0.01940152,0.0001867983,0.02791051,0.000119796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642917,0.003839781,0.001233459,0.001025091,0.00007304193,0.002350636,0.02300899,0.0002097159,0.003967574],"genre_scores_gemma":[0.9450279,0.002587591,0.00903956,0.00164367,0.00008542321,0.001090392,0.03485481,0.0001169186,0.005553688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.572798,"threshold_uncertainty_score":0.8494308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05483441910059244,"score_gpt":0.4019711863863359,"score_spread":0.3471367672857434,"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."}}