{"id":"W2133706744","doi":"10.1534/genetics.112.143537","title":"Genetic Annotation of Gain-Of-Function Screens Using RNA Interference and in Situ Hybridization of Candidate Genes in the Drosophila Wing","year":2012,"lang":"en","type":"article","venue":"Genetics","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Centro de Biología Molecular Severo Ochoa; Fundación Ramón Areces","keywords":"Biology; Phenotype; Gene; Genetics; Genetic screen; RNA interference; Loss function; Function (biology); Pair-rule gene; Candidate gene; RNA; Gene expression; Regulator gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002513475,0.0000736713,0.0001361937,0.0001186532,0.00003585937,0.000003543317,0.000130634,0.00004862075,0.000001878103],"category_scores_gemma":[0.0001006946,0.00006116289,0.00001737006,0.0003053423,0.0002364956,0.0000728273,0.00005844247,0.0001072526,4.27708e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006865115,"about_ca_system_score_gemma":0.00002792286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002695906,"about_ca_topic_score_gemma":0.00002975755,"domain_scores_codex":[0.998961,0.0003478897,0.0002730156,0.0001463236,0.00009371201,0.0001781063],"domain_scores_gemma":[0.9994649,0.0001868368,0.0001379061,0.0001533085,0.00003889251,0.00001810593],"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":[0.00006283191,0.00004712423,0.05850166,0.0000324478,0.000001431285,6.101948e-7,0.0004160956,0.002028218,0.9382772,0.00005620213,0.000001938474,0.0005742259],"study_design_scores_gemma":[0.0001834725,0.0001300361,0.2045402,0.00002539059,0.000007296529,0.000009019349,0.00004998122,0.001530183,0.7932538,0.0002226548,0.000003397981,0.00004462877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987493,0.0003670683,0.0005462796,0.0000189989,0.00007554446,0.0001678361,0.000008342166,0.000002387068,0.00006424258],"genre_scores_gemma":[0.9992473,0.0004237874,0.0001956025,0.00009351068,0.00002700887,0.000003308004,0.000002312919,0.000005935575,0.000001262287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1460385,"threshold_uncertainty_score":0.249415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0512628799971207,"score_gpt":0.2968357959568941,"score_spread":0.2455729159597734,"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."}}