{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004051109,0.00003948291,0.00005144165,0.000004480584,0.0002191918,0.00002198444,0.00009342616,0.000009145774,0.01365964],"category_scores_gemma":[0.000004205821,0.00001551733,0.00004489708,0.0001542319,0.000009579836,0.00003028305,0.00004441903,0.0000460606,0.0001763452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001221927,"about_ca_system_score_gemma":0.000001860668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002897874,"about_ca_topic_score_gemma":0.0006862252,"domain_scores_codex":[0.9995643,0.00005305271,0.00006448917,0.0001141814,0.0001247598,0.00007914603],"domain_scores_gemma":[0.9998943,0.00001476257,0.00002171614,0.00002351545,0.000009144108,0.00003654215],"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":[0.00007533398,0.0001975889,0.1991803,9.757543e-7,0.00005643227,0.00002449551,0.000481796,0.0003390513,0.7196335,0.0005685904,0.009882982,0.06955896],"study_design_scores_gemma":[0.0001085126,0.00005920193,0.9356237,8.928095e-7,0.000009851468,0.000002473914,0.001218882,0.000417867,0.001278983,0.0004005314,0.0607734,0.0001057026],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975224,0.00001695264,7.621083e-7,0.0007717885,0.00007289214,0.00003288507,0.0001239851,0.00002914546,0.001429155],"genre_scores_gemma":[0.9968923,0.000001274378,0.00001103548,0.0005069138,0.00008713747,0.00001038266,0.0002004732,2.687996e-7,0.00229017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7364434,"threshold_uncertainty_score":0.987242,"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."}}