{"id":"W3021398052","doi":"10.3389/fmicb.2020.00737","title":"Phenotypic and Genetic Characterization of the Cheese Ripening Yeast Geotrichum candidum","year":2020,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; AgreenSkills; Simon Fraser University; Ministère de l'Économie, de la Science et de l'Innovation - Québec; Compute Canada","keywords":"Multilocus sequence typing; Geotrichum; Biology; Genetics; Genetic diversity; Genome; Phylogenetic tree; Population; Whole genome sequencing; Gene; Microbiology; Genotype","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":[0.00002977462,0.00005229793,0.0001185865,0.000009188219,0.00004589451,0.000006240045,0.00009812492,0.00004703031,0.0000799491],"category_scores_gemma":[0.00001667853,0.00002009272,0.00002931676,0.0002287705,0.000069129,0.00002050826,0.00003480168,0.00005226697,0.00000197106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000764561,"about_ca_system_score_gemma":0.000003133189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002925987,"about_ca_topic_score_gemma":0.00004846393,"domain_scores_codex":[0.9995413,0.0000890628,0.0001317387,0.0001284959,0.00001891208,0.00009050458],"domain_scores_gemma":[0.9998691,0.000006530028,0.00006749827,0.00002120103,0.00001293555,0.00002273322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000013924,0.000005915721,0.1221303,0.000002573018,0.00000666494,4.449909e-7,0.0001999145,0.000003707114,0.8735867,0.000004605617,0.0001328221,0.003912466],"study_design_scores_gemma":[0.0001482751,0.0000434335,0.9774894,0.000004489356,0.0000134744,0.00000321183,0.0002636522,0.0004251352,0.01756314,0.00002832816,0.003948743,0.00006873027],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983126,0.00007081946,0.00004833443,0.001314207,0.0001109813,0.00007789888,0.00003321477,0.000005223247,0.00002669918],"genre_scores_gemma":[0.9989741,0.00003920523,0.0001672134,0.0006518576,0.00003594612,0.000001780284,0.00005299451,3.907916e-7,0.00007645501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8560236,"threshold_uncertainty_score":0.08753865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009066027800211684,"score_gpt":0.1725543729807752,"score_spread":0.1634883451805635,"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."}}