{"id":"W2669810548","doi":"10.1016/j.ebiom.2017.06.023","title":"CPSF6 is a Clinically Relevant Breast Cancer Vulnerability Target","year":2017,"lang":"en","type":"article","venue":"EBioMedicine","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Canadian Institutes of Health Research; McGill University Health Centre; McGill University","keywords":"Breast cancer; Medicine; Vulnerability (computing); Oncology; Bioinformatics; Cancer; Internal medicine; Computational biology; Biology; Computer science; Computer security","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":[0.0002235461,0.0003526147,0.0002724067,0.0002219425,0.0002320806,0.0004021454,0.0001752942,0.0004098059,0.001941701],"category_scores_gemma":[0.0002098413,0.00008390062,0.0002391381,0.0001275363,0.0001951908,0.0001758205,0.0002341608,0.0006940822,0.0004307679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004194915,"about_ca_system_score_gemma":0.000328418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003209353,"about_ca_topic_score_gemma":0.0004646028,"domain_scores_codex":[0.9998597,0.00001996377,0.000006768056,0.00003049318,0.00004917856,0.00003386627],"domain_scores_gemma":[0.9999008,0.00001587639,0.00002640601,0.000007961216,0.0000171408,0.00003176085],"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":[0.0003743485,0.00007723129,0.003169093,0.000219034,0.00002419297,0.0005899057,0.0000342872,0.0002517068,0.9580569,0.00101965,0.0008979127,0.03528581],"study_design_scores_gemma":[0.00008076273,0.00136339,0.02346902,0.00004419368,0.00007577816,0.009431487,0.0001143819,0.001923088,0.8909696,0.0009815336,0.07152179,0.00002513322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9133512,0.05158455,0.01453906,0.003009489,0.0003877285,0.0002270502,0.001650409,0.0003823006,0.01486817],"genre_scores_gemma":[0.9851978,0.00654002,0.003914386,0.0002753126,0.00006079196,0.00003900263,0.0007771793,0.00001621632,0.00317925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001941701,"threshold_uncertainty_score":0.006495655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02592321906432598,"score_gpt":0.3570828153103572,"score_spread":0.3311595962460312,"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."}}