{"id":"W2139866374","doi":"10.1186/gm549","title":"A genome scale overexpression screen to reveal drug activity in human cells","year":2014,"lang":"en","type":"article","venue":"Genome Medicine","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Human Genome Research Institute","keywords":"Human genome; Computational biology; Human genetics; ORFS; Drug; Drug discovery; Drug action; Drug resistance; Gene; Genome; Biology; Transcription factor; Genetics; Bioinformatics; Pharmacology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003566883,0.0001611342,0.0002169775,0.00009550591,0.00005037874,0.000005930405,0.000200325,0.00007983122,0.00005808428],"category_scores_gemma":[0.00002874485,0.0001439257,0.00003698739,0.0001171254,0.00004087216,0.000002099269,0.0001473259,0.0001087538,0.00001634441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000220824,"about_ca_system_score_gemma":0.00001141488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001425025,"about_ca_topic_score_gemma":0.00009363775,"domain_scores_codex":[0.9989592,0.00004663796,0.0001873808,0.0003636391,0.0001488313,0.0002943433],"domain_scores_gemma":[0.999347,0.000009193216,0.00003660698,0.0004078288,0.00002638942,0.0001729287],"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":[0.00002903768,0.0000236752,0.0004311576,0.00002459221,0.000005717667,0.000001322282,0.000220409,0.0007722668,0.9970831,0.000002469506,0.000531064,0.0008752266],"study_design_scores_gemma":[0.001262992,0.0005090926,0.123614,0.00009328355,0.00001301514,0.000004976264,0.0000731289,0.00006470006,0.8109075,0.00003476783,0.06309625,0.0003263289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988015,0.0002798974,0.008710072,0.0003397686,0.00008602768,0.0002257406,0.00000880466,0.00001369652,0.002321009],"genre_scores_gemma":[0.9966971,0.00002587539,0.0005376583,0.000275625,0.0007255087,0.00001505362,0.00005770945,0.00002466146,0.001640751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1861755,"threshold_uncertainty_score":0.5869119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005995815649893305,"score_gpt":0.2773962285039243,"score_spread":0.271400412854031,"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."}}