{"id":"W2174641468","doi":"10.1093/femsyr/fov091","title":"Utilising established SDL-screening methods as a tool for the functional genomic characterisation of model and non-model organisms","year":2015,"lang":"en","type":"article","venue":"FEMS Yeast Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; University of Toronto","keywords":"Biology; Candida glabrata; Genetic screen; Context (archaeology); Computational biology; Saccharomyces cerevisiae; Model organism; Gene; Genetics; Function (biology); Phenotype; Candida albicans","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":[0.002080602,0.001015446,0.001120183,0.002021248,0.0005689744,0.001176018,0.001118281,0.0006217026,0.003285485],"category_scores_gemma":[0.001883663,0.0004639998,0.001074541,0.00129763,0.0009945726,0.0006570394,0.001689979,0.001679473,0.002721511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007060505,"about_ca_system_score_gemma":0.000550112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005818115,"about_ca_topic_score_gemma":0.001271006,"domain_scores_codex":[0.9987009,0.0003721052,0.00012067,0.0002983288,0.0004299992,0.00007797949],"domain_scores_gemma":[0.997995,0.0008255249,0.0002786279,0.0005997302,0.000171831,0.0001293213],"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":[0.0001034775,0.00008420531,0.001244443,0.0004472774,0.00004610758,0.0001984543,0.0001093732,0.001188666,0.9680953,0.002630206,0.0005823102,0.02527005],"study_design_scores_gemma":[0.00005780204,0.0004742342,0.008428411,0.00008539981,0.00008447011,0.00122867,0.0001293348,0.01690789,0.929478,0.00461251,0.03843632,0.00007696623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06674112,0.001822891,0.9134976,0.000338083,0.0001054415,0.0005729513,0.006847161,0.004678132,0.005396673],"genre_scores_gemma":[0.3607474,0.004192689,0.6021689,0.0005863215,0.00004804334,0.003037062,0.02022908,0.00160106,0.007389474],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003285485,"threshold_uncertainty_score":0.01100343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1029372654458625,"score_gpt":0.3727058448337772,"score_spread":0.2697685793879147,"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."}}