{"id":"W2946162420","doi":"10.1093/annonc/mdz095.067","title":"Functional CRISPR knockout screens for modifiers of sensitivity to trastuzumab emtansine","year":2019,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Trastuzumab emtansine; Trastuzumab; Medicine; Breast cancer; CRISPR; Cancer; Computational biology; Cancer research; Gene; Biology; Genetics; Internal medicine","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":[0.000283708,0.000751233,0.0004605629,0.00074682,0.0003089831,0.0006433376,0.0007853437,0.0007469192,0.004728374],"category_scores_gemma":[0.000404774,0.0004639348,0.00055675,0.0002764664,0.0005164805,0.0001661639,0.0005439112,0.0009790083,0.001542229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005589749,"about_ca_system_score_gemma":0.0003283453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001523104,"about_ca_topic_score_gemma":0.003985801,"domain_scores_codex":[0.9995611,0.00004515078,0.00006445937,0.00008745573,0.0001788333,0.00006290423],"domain_scores_gemma":[0.9995769,0.0001514436,0.0001228527,0.00005261274,0.00003140712,0.0000648225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000089467,0.00002486639,0.0001916174,0.00003967837,0.00002134454,0.0002701713,0.0000228691,0.0002473476,0.9962595,0.0003580021,0.0001578851,0.002317384],"study_design_scores_gemma":[0.00004143142,0.000114913,0.004949921,0.00002203333,0.0001039582,0.001031997,0.00005624333,0.003029981,0.9806272,0.0001521059,0.009841301,0.00002899873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9241785,0.00134918,0.05224393,0.0008778555,0.0004066656,0.0003333064,0.005965536,0.003117396,0.01152764],"genre_scores_gemma":[0.9769894,0.0006298915,0.008567161,0.0002134926,0.0000223474,0.00007462771,0.001299693,0.0003621315,0.01184107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004728374,"threshold_uncertainty_score":0.015818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05010312441584526,"score_gpt":0.3672961790015932,"score_spread":0.317193054585748,"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."}}