{"id":"W2945300026","doi":"10.1101/638866","title":"OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Gene; Pharmacogenomics; Precision medicine; Computational biology; CDH1; Cancer; Breast cancer; RAC1; Biology; Genetics; Bioinformatics; Cancer research; Signal transduction; Cadherin; Cell","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":[0.001346754,0.0005989387,0.0006999666,0.001590765,0.0003168994,0.001120894,0.0003593483,0.0003120087,0.003428225],"category_scores_gemma":[0.001407284,0.0001985023,0.0006427149,0.00126726,0.0005588375,0.0006000781,0.0009271703,0.0007696893,0.0008324847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005111258,"about_ca_system_score_gemma":0.001106259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006906682,"about_ca_topic_score_gemma":0.001041563,"domain_scores_codex":[0.9992539,0.000177575,0.00003714086,0.0001449593,0.0003227781,0.0000635197],"domain_scores_gemma":[0.9992253,0.0003077795,0.0001025959,0.0001789214,0.0001118973,0.00007363552],"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":[0.001385151,0.0001819417,0.03884034,0.001985125,0.0008676902,0.001072916,0.0005061906,0.01553161,0.311874,0.09714191,0.04508802,0.485525],"study_design_scores_gemma":[0.0002099721,0.0003086386,0.08108698,0.000349146,0.0005889459,0.002278123,0.0006551649,0.1004709,0.3105673,0.2655734,0.2377668,0.0001446247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.3409573,0.02145507,0.5772961,0.008455139,0.001143465,0.0001258631,0.01621239,0.01210955,0.02224517],"genre_scores_gemma":[0.6331202,0.009628509,0.3280025,0.00119564,0.000550393,0.0001970149,0.01844989,0.001668266,0.007187613],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003428225,"threshold_uncertainty_score":0.01146853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02214727194973274,"score_gpt":0.2349456899817995,"score_spread":0.2127984180320668,"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."}}