{"id":"W3123756752","doi":"10.20944/preprints201806.0191.v1","title":"Recent Developments in Using <em>Drosophila</em> as a Model for Human Genetic Disease","year":2018,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Drosophila (subgenus); Human disease; Disease; Value (mathematics); Candidate gene; Biology; Gene; Genetics; Genetic model; Computational biology; Computer science; Medicine; Machine learning; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004978279,0.001299471,0.001126229,0.001568534,0.0007520041,0.002892268,0.001623485,0.001598373,0.003432294],"category_scores_gemma":[0.002832485,0.0005120358,0.0009458411,0.001305642,0.003283904,0.002403773,0.002423481,0.003980695,0.001763803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604625,"about_ca_system_score_gemma":0.0009503053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00167144,"about_ca_topic_score_gemma":0.001906982,"domain_scores_codex":[0.9980139,0.001050688,0.0001241674,0.0003426616,0.0003978213,0.00007066799],"domain_scores_gemma":[0.9960789,0.001824501,0.00043393,0.001012616,0.0002687838,0.0003812098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001007238,0.0004659905,0.006451469,0.003564716,0.0003199069,0.0008868782,0.001243441,0.004863712,0.2979528,0.4075213,0.0382776,0.2374449],"study_design_scores_gemma":[0.0001250034,0.0005224843,0.006804969,0.0007744975,0.0003109085,0.002757896,0.0004094075,0.01122968,0.07271378,0.1032069,0.8009769,0.0001675107],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07732546,0.1394053,0.6179696,0.04124558,0.005333598,0.0003834658,0.004940671,0.005327042,0.1080693],"genre_scores_gemma":[0.2844084,0.1501188,0.5281532,0.006370116,0.002113041,0.0008081386,0.005187981,0.001731334,0.02110909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004978279,"threshold_uncertainty_score":0.02632803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1185401268667017,"score_gpt":0.3562222976397899,"score_spread":0.2376821707730882,"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."}}