{"id":"W2976164311","doi":"10.1177/2472555219875934","title":"Screening of Chemical Libraries Using a Yeast Model of Retinal Disease","year":2019,"lang":"en","type":"article","venue":"SLAS DISCOVERY","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Hospital for Sick Children","keywords":"Rhodopsin; Biology; Retinitis pigmentosa; Yeast; G protein-coupled receptor; Cell biology; Arrestin; Retinal; Genetics; Biochemistry; Signal transduction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005947692,0.00008849829,0.0001405149,0.0000224678,0.00001195796,0.00001472827,0.0001131648,0.00006043179,0.00003528317],"category_scores_gemma":[0.00002335139,0.00008233474,0.0001156908,0.00003938261,0.00005364988,0.00001538193,0.0001164598,0.00004188908,7.279513e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003103586,"about_ca_system_score_gemma":0.00009978689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006978194,"about_ca_topic_score_gemma":1.495415e-7,"domain_scores_codex":[0.9993887,0.00001453118,0.0001699583,0.0001817384,0.0001227797,0.0001222828],"domain_scores_gemma":[0.9996249,0.000004646939,0.00009536664,0.0002012616,0.00002748611,0.00004634494],"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":[0.0002374692,0.00002793265,0.003137414,0.00005548831,0.00002409604,3.495285e-7,0.00002349112,0.004524427,0.9896934,0.002185086,0.00002062726,0.00007020245],"study_design_scores_gemma":[0.0002355316,0.00005023974,0.00007942468,0.00007255849,0.00002005933,8.322456e-7,0.0000602671,0.02476272,0.9739404,0.0006520569,0.00002324854,0.0001026949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579447,0.0002582589,0.0413833,0.000005768686,0.00004742614,0.00007063223,0.0000608659,0.000002956724,0.0002260813],"genre_scores_gemma":[0.993147,0.000008711425,0.006484585,0.00002240009,0.00005827217,0.000001418102,0.00004569485,0.00001533985,0.0002166168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03520225,"threshold_uncertainty_score":0.3357513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631999021428888,"score_gpt":0.2293098379326332,"score_spread":0.2129898477183443,"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."}}