{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007251968,0.001863204,0.001645888,0.005066414,0.001005865,0.001620461,0.002955513,0.0009574805,0.03506051],"category_scores_gemma":[0.001120551,0.0009853509,0.000976528,0.003479219,0.0002237056,0.001387636,0.001674932,0.0009986436,0.03422508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007337669,"about_ca_system_score_gemma":0.001173549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003902878,"about_ca_topic_score_gemma":0.007645426,"domain_scores_codex":[0.9995713,0.00003141189,0.0000644288,0.00009984458,0.0001813191,0.00005165883],"domain_scores_gemma":[0.9995524,0.00007031495,0.00006980662,0.0001307837,0.0001015359,0.00007516346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001001314,0.000208006,0.00575854,0.006166551,0.0005259446,0.0007173296,0.0002640527,0.002589885,0.06235615,0.007625494,0.7878675,0.1249193],"study_design_scores_gemma":[0.000208235,0.0001403726,0.01263443,0.0003132997,0.0002341363,0.0009458115,0.00008964234,0.003573416,0.0161834,0.0049262,0.9606405,0.0001105479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007288956,0.003206906,0.01487753,0.0001163332,0.00007609555,0.0001661116,0.9387645,0.02297262,0.01253092],"genre_scores_gemma":[0.004127277,0.0008522451,0.01158248,0.00006214354,0.000007438243,0.0001874256,0.980163,0.00113404,0.001884075],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03506051,"threshold_uncertainty_score":0.1172891,"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."}}