{"id":"W2770982733","doi":"10.1128/msphere.00497-17","title":"The Genomic Landscape of the Fungus-Specific SWI/SNF Complex Subunit, Snf6, in Candida albicans","year":2017,"lang":"en","type":"article","venue":"mSphere","topic":"Peptidase Inhibition and Analysis","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Concordia University; McGill University","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Merck Sharp and Dohme; Concordia University; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Canadian Institutes of Health Research; Genome Canada; Government of Canada; Merck","keywords":"Candida albicans; Fungus; Protein subunit; Biology; Microbiology; Pathogenic fungus; Genetics; Computational biology; Botany; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00005497403,0.0001254383,0.0001066635,0.0003261676,0.0001431813,0.0001925408,0.0001140097,0.000192875,0.001515382],"category_scores_gemma":[0.0001530718,0.00008375129,0.0001976773,0.0001949531,0.0001531814,0.00008581117,0.0001212714,0.000283024,0.0002552747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001372526,"about_ca_system_score_gemma":0.0001303966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008156516,"about_ca_topic_score_gemma":0.001234288,"domain_scores_codex":[0.9999456,0.000004722072,0.000003210288,0.00001998777,0.0000149656,0.00001135929],"domain_scores_gemma":[0.9999298,0.00001463851,0.00002131862,0.000007962389,0.000009059576,0.0000171633],"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":[0.0001683865,0.0000148237,0.001651786,0.00002470238,0.0000062136,0.00009737278,0.0000229525,0.0001097995,0.9931035,0.0001241509,0.00004930915,0.004627148],"study_design_scores_gemma":[0.00001585882,0.0004087053,0.1714284,0.00001468263,0.00005698082,0.001362046,0.000224845,0.00190474,0.8176641,0.000550617,0.006352906,0.00001606907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940481,0.001061237,0.002500315,0.00009799478,0.00001320362,0.00001001716,0.001334412,0.00005132001,0.000883366],"genre_scores_gemma":[0.9941989,0.0004611007,0.002220455,0.00006667062,0.000005482421,0.000008732156,0.001538352,0.00001600598,0.00148428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001515382,"threshold_uncertainty_score":0.005069494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0289073261594272,"score_gpt":0.2729445927521254,"score_spread":0.2440372665926982,"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."}}