{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001586084,0.0002846959,0.0002603979,0.0005533738,0.0001804984,0.0003657872,0.0002182065,0.0002338338,0.0002635726],"category_scores_gemma":[0.0005074636,0.00009820854,0.0002817868,0.0007464624,0.0001424126,0.0001536613,0.0003820307,0.0003116564,0.0001961265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000112366,"about_ca_system_score_gemma":0.0002305065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001665794,"about_ca_topic_score_gemma":0.0008829659,"domain_scores_codex":[0.9997784,0.00003162553,0.00003042821,0.00004284871,0.00008268187,0.00003399398],"domain_scores_gemma":[0.9997947,0.00004352891,0.00004341577,0.00002950729,0.00005115262,0.000037846],"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":[0.00009028301,0.00003820771,0.004019382,0.0000326144,0.000008512749,0.0001656315,0.00005822003,0.0001758116,0.9924345,0.0000281509,0.00001574719,0.00293301],"study_design_scores_gemma":[0.00002361027,0.000523488,0.3284838,0.00002374893,0.00009237971,0.001845886,0.0005265668,0.003567784,0.6624711,0.0001420158,0.002260954,0.0000386869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975761,0.0002009034,0.0009753108,0.00003450441,0.000003706454,0.00002468543,0.000788863,0.00001180675,0.0003841865],"genre_scores_gemma":[0.9928375,0.0002833333,0.004255288,0.0000237323,0.000006229371,0.00004540372,0.002111982,0.00001543447,0.0004211188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001665794,"threshold_uncertainty_score":0.003312171,"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."}}