{"id":"W2145360012","doi":"10.1126/scisignal.134pt5","title":"Defining Drug Targets in Yeast Haploinsufficiency Screens: Application to Human Translational PharmacologyA presentation from the American Society for Pharmacology and Experimental Therapeutics (ASPET) Centennial Meeting at the Experimental Biology 2008 Meeting, San Diego, California, 5 to 9 April 2008.","year":2008,"lang":"en","type":"article","venue":"Science Signaling","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Haploinsufficiency; Drug; Biology; Drug discovery; Saccharomyces cerevisiae; Computational biology; Mutant; Drug resistance; Genetics; Gene; Pharmacology; Bioinformatics; Phenotype","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":[0.0007016616,0.0001803112,0.0001542743,0.00006305049,0.001253401,0.00003603299,0.0004512238,0.00004803097,0.00003370658],"category_scores_gemma":[0.00002344154,0.0001362773,0.00008092289,0.000363498,0.00103169,0.00001237682,0.0002811881,0.0001256551,0.000006477497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007708983,"about_ca_system_score_gemma":0.000150802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004657795,"about_ca_topic_score_gemma":0.000287927,"domain_scores_codex":[0.998114,0.0001317155,0.000289638,0.0006431646,0.0002961594,0.0005252798],"domain_scores_gemma":[0.999388,0.0001060737,0.0001164612,0.0001493325,0.0001121491,0.0001279339],"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":[0.0002420051,0.0000924985,0.007163563,0.000001816116,0.00002166484,4.285163e-7,0.002547058,0.002928021,0.9855076,0.0000147504,0.001047626,0.0004329522],"study_design_scores_gemma":[0.0007246428,0.0002629668,0.001848697,0.000006224845,0.00001199324,0.000004428578,0.002241371,0.004891469,0.987277,0.0000135932,0.002536355,0.0001812729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937395,0.002579172,0.001704567,0.0008202942,0.0001012626,0.0008371353,0.0001383142,0.00001073028,0.00006901691],"genre_scores_gemma":[0.9949327,0.00003724718,0.002510096,0.001824438,0.0002865607,0.0002552859,0.000112127,0.00001882144,0.00002277079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005314865,"threshold_uncertainty_score":0.964027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481284091641884,"score_gpt":0.3468464919568252,"score_spread":0.3220336510404063,"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."}}