{"id":"W3093419969","doi":"10.1128/msphere.00646-20","title":"High-Resolution Genome-Wide Occupancy in <i>Candida</i> spp. Using ChEC-seq","year":2020,"lang":"en","type":"article","venue":"mSphere","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Biology; ChIP-on-chip; Chromatin immunoprecipitation; ChIP-sequencing; Chromatin; Tiling array; Genetics; Candida albicans; Genome; Computational biology; DNA microarray; Gene; Promoter; Gene expression; Nucleosome","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001548478,0.0001536549,0.0003444891,0.00002034697,0.0000710332,0.00001577058,0.00008675211,0.0001128193,0.0008657365],"category_scores_gemma":[0.0002309292,0.0001411086,0.00009251338,0.0003320271,0.00006061355,0.00009724118,0.0000435233,0.0003174984,0.0001996986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001732536,"about_ca_system_score_gemma":0.0001562166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003792723,"about_ca_topic_score_gemma":0.0004087989,"domain_scores_codex":[0.998729,0.00005371908,0.000302257,0.0003593754,0.0002357656,0.0003198732],"domain_scores_gemma":[0.9994133,0.00003811015,0.00006157366,0.0002539653,0.0000515211,0.0001814907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006724661,0.0001077133,0.9589946,0.0002506453,0.00002513472,0.0001710223,0.0003963865,0.0001455191,0.0358113,0.0000590605,0.002313887,0.001052223],"study_design_scores_gemma":[0.002067558,0.0002111316,0.9823602,0.0001935644,0.0000665027,0.000006406536,0.0006315449,0.001617707,0.002744921,0.0001642905,0.00966989,0.000266317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992226,0.001852046,0.001530682,0.001459998,0.00008123363,0.0002931066,0.0000113985,0.00006900893,0.002476499],"genre_scores_gemma":[0.9949833,0.00008098299,0.002020899,0.002169348,0.0002372936,0.000004481152,0.00001988134,0.00002250537,0.0004612855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03306638,"threshold_uncertainty_score":0.9479208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03169606090837775,"score_gpt":0.2690931908869091,"score_spread":0.2373971299785313,"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."}}