{"id":"W2080126791","doi":"10.4161/fly.4.4.13303","title":"The FLIGHT Drosophila RNAi database","year":2010,"lang":"en","type":"article","venue":"Fly","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"National Institute for Health and Care Research","keywords":"RNA interference; Genetic screen; Drosophila (subgenus); Computer science; Computational biology; Biology; Phenotype; Gene; Genetics","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":[0.0001705904,0.00007402187,0.00004517053,0.000006505742,0.0001696453,0.00004539428,0.0002354484,0.00008601155,0.00002758597],"category_scores_gemma":[0.00002450506,0.00004898055,0.00004149195,0.00002736637,0.00007083128,0.000001956461,0.0001172238,0.0001401546,0.0000649105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001495616,"about_ca_system_score_gemma":0.00003050277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004026695,"about_ca_topic_score_gemma":0.0000790257,"domain_scores_codex":[0.9995427,0.000007267524,0.0001144057,0.0001072779,0.00005878499,0.0001695348],"domain_scores_gemma":[0.9994159,0.000008901552,0.00003901411,0.0004521096,0.00002689574,0.00005714352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003819474,0.00002477184,0.0002351131,0.00000638342,0.00004161718,0.000002408221,0.00004267062,0.000006937036,0.7671752,0.009039865,0.2046142,0.01877263],"study_design_scores_gemma":[0.0001682842,0.00003453099,0.0003417938,0.000001967716,0.000005329714,0.00001443244,0.00001363491,0.000284719,0.02384614,0.0006873801,0.9745018,0.00009992887],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9100953,0.001428444,0.003017036,0.003819863,0.003553989,0.0003703069,0.00009687607,0.00003539746,0.07758273],"genre_scores_gemma":[0.9928908,0.0001547155,0.0009745184,0.0007584423,0.001022629,0.00001012761,0.0001421681,0.00001235768,0.004034255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7698876,"threshold_uncertainty_score":0.1997369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004513430479687332,"score_gpt":0.2159043163362244,"score_spread":0.2113908858565371,"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."}}