{"id":"W3036748165","doi":"10.1101/2020.06.19.160531","title":"High resolution genome-wide occupancy in <i>Candida spp</i> . using ChEC-seq","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":"Université de Montréal; Montreal Heart Institute","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Université de Genève","keywords":"Chromatin; Biology; Tiling array; Candida albicans; Genome; Genetics; ChIP-on-chip; Computational biology; Chromatin immunoprecipitation; Gene; Regulator; ChIP-sequencing; Promoter; DNA microarray; Nucleosome; Gene expression","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":[0.0002020439,0.0004005146,0.0003899316,0.0005379497,0.0003869442,0.0005763713,0.0003583919,0.0003882689,0.001287764],"category_scores_gemma":[0.0002398997,0.0002432015,0.0004859031,0.000580514,0.0002052299,0.0001339835,0.0003354494,0.0006374919,0.0005795954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003837898,"about_ca_system_score_gemma":0.0003418261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004600617,"about_ca_topic_score_gemma":0.009848643,"domain_scores_codex":[0.9997477,0.00001027265,0.00000943596,0.000125892,0.00007325409,0.00003346921],"domain_scores_gemma":[0.9998091,0.00003452474,0.00003667254,0.00002524631,0.00006065449,0.00003383831],"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":[0.0001137018,0.00001250977,0.002446217,0.0001022576,0.00003483732,0.00004970732,0.00003582142,0.0004260629,0.9921525,0.0001034478,0.0004967545,0.004026096],"study_design_scores_gemma":[0.00002930359,0.0001802559,0.1691314,0.00003631322,0.0001750658,0.0005959163,0.0001957468,0.01559061,0.7972506,0.0003584358,0.01638836,0.00006811055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9191469,0.001941036,0.03240036,0.0002126908,0.0000810909,0.0001288954,0.03955381,0.001569098,0.004966122],"genre_scores_gemma":[0.8848335,0.0009187229,0.05399127,0.0005136265,0.00002643236,0.0001907885,0.05449291,0.0005815912,0.004451108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004600617,"threshold_uncertainty_score":0.009147644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02637540593572001,"score_gpt":0.2520702507897911,"score_spread":0.225694844854071,"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."}}