{"id":"W3112865824","doi":"10.1101/2020.12.04.412718","title":"DeORFanizing <i>Candida albicans</i> Genes using Co-Expression","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Directorate for Biological Sciences; University of Toronto; University of Michigan","keywords":"Candida albicans; Corpus albicans; Gene; Biology; Open reading frame; Function (biology); Computational biology; Genome; Genetics; Model organism; Peptide sequence","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":[0.000769529,0.0008578798,0.0006525957,0.001464898,0.000578546,0.0009960751,0.0005259622,0.0003119442,0.001188718],"category_scores_gemma":[0.001537182,0.0003076961,0.001080181,0.001883147,0.0004135307,0.0005984765,0.0008579951,0.0007838865,0.0004983917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040423,"about_ca_system_score_gemma":0.000736564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00548139,"about_ca_topic_score_gemma":0.009248842,"domain_scores_codex":[0.9991946,0.0001040076,0.00003792717,0.000450958,0.0001641629,0.0000485192],"domain_scores_gemma":[0.9993988,0.0002464832,0.0001324223,0.00009064913,0.00009374399,0.00003775489],"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":[0.0007324289,0.0001631638,0.03954055,0.00105835,0.0005301287,0.0002782414,0.0002739937,0.09207401,0.768251,0.004389976,0.003505675,0.08920244],"study_design_scores_gemma":[0.00004000872,0.0001743211,0.04227029,0.00006345122,0.0002621731,0.0003148046,0.0001653702,0.6161916,0.3173376,0.006023731,0.01706066,0.00009599185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5800608,0.001786136,0.3849594,0.0003656981,0.00009446019,0.0003368018,0.01959649,0.007405592,0.005394583],"genre_scores_gemma":[0.6595177,0.00084326,0.3088474,0.0002181398,0.00002371073,0.0004584259,0.02735857,0.0007937662,0.001939085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00548139,"threshold_uncertainty_score":0.01089895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03354039348825703,"score_gpt":0.2751793142078161,"score_spread":0.2416389207195591,"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."}}