{"id":"W4211167435","doi":"10.1002/yea.3699","title":"Yeasts from temperate forests","year":2022,"lang":"en","type":"article","venue":"Yeast","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; PROTEO; McGill University","funders":"Office of the Vice Chancellor for Research and Innovation; Wisconsin Alumni Research Foundation; Division of Graduate Education; Goddard Space Flight Center; National Institute of Food and Agriculture; Great Lakes Bioenergy Research Center; Bulgarian National Science Fund; Grantová Agentura České Republiky; University of Wisconsin-Madison; U.S. Department of Agriculture; U.S. Department of Energy; National Science Foundation","keywords":"Biology; Temperate climate; Temperate rainforest; Temperate forest; Ecology; Ecosystem","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001834626,0.0004945193,0.0004194571,0.001176238,0.0006533608,0.0009029575,0.0002202064,0.0003003803,0.001767631],"category_scores_gemma":[0.0004096577,0.0001161285,0.0003508805,0.00197997,0.000191672,0.0006046204,0.0007902936,0.0005438835,0.001190511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001578731,"about_ca_system_score_gemma":0.0002544051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002388641,"about_ca_topic_score_gemma":0.004349509,"domain_scores_codex":[0.9997414,0.00002210023,0.00004346479,0.00006064847,0.00007528873,0.00005706804],"domain_scores_gemma":[0.9998059,0.00003077884,0.00004107023,0.00001607208,0.00006151147,0.00004465092],"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":[0.001397306,0.000147034,0.04177328,0.002239992,0.0001092711,0.001581928,0.001643937,0.000337313,0.7523605,0.00137674,0.003840395,0.1931923],"study_design_scores_gemma":[0.00005893457,0.0009315298,0.4689757,0.0009346902,0.0003158877,0.008981089,0.004627619,0.0005523536,0.2100329,0.004045328,0.3003474,0.0001965824],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8206295,0.1042337,0.02032719,0.001199223,0.0006438976,0.0003072116,0.02427801,0.0004366254,0.02794469],"genre_scores_gemma":[0.842601,0.06985318,0.02609533,0.001544777,0.0003784899,0.0001698173,0.04649633,0.0002122666,0.01264889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002388641,"threshold_uncertainty_score":0.005913317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191884872243705,"score_gpt":0.216362295835749,"score_spread":0.1944434471133119,"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."}}