{"id":"W2133706744","doi":"10.1534/genetics.112.143537","title":"Genetic Annotation of Gain-Of-Function Screens Using RNA Interference and <i>in Situ</i> Hybridization of Candidate Genes in the <i>Drosophila</i> 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003958515,0.0009028497,0.0005778862,0.001780461,0.000426267,0.0005227652,0.0005160074,0.0003789559,0.001606793],"category_scores_gemma":[0.0005450807,0.0003723949,0.001023345,0.000831348,0.000392354,0.0002569155,0.0004405382,0.000530527,0.001167818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00045242,"about_ca_system_score_gemma":0.0003971783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008533339,"about_ca_topic_score_gemma":0.00246309,"domain_scores_codex":[0.9995428,0.00006854554,0.00005667157,0.00009644729,0.0001709332,0.00006452819],"domain_scores_gemma":[0.9993173,0.0002317763,0.0001998807,0.0001128759,0.0000680778,0.00007020849],"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":[0.00003896954,0.00001356095,0.000606717,0.00004674155,0.000009180384,0.0001409608,0.00002386749,0.00007894166,0.9977669,0.00004427204,0.00003735938,0.001192496],"study_design_scores_gemma":[0.00001633244,0.000127385,0.02503684,0.00001282728,0.0001231487,0.000840422,0.00008596405,0.001539099,0.9685241,0.00008964783,0.003588123,0.00001610157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421218,0.0008051437,0.04610666,0.0001430104,0.00005713286,0.0003320115,0.005608427,0.001033096,0.003792737],"genre_scores_gemma":[0.910601,0.001757729,0.06308971,0.0002611126,0.00003381658,0.0006432508,0.01768693,0.0008643297,0.005062127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001780461,"threshold_uncertainty_score":0.005375266,"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."}}