{"id":"W3118408107","doi":"10.3390/fermentation7010013","title":"Predicting Fermentation Rates in Ale, Lager and Whisky","year":2021,"lang":"en","type":"article","venue":"Fermentation","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"Dalhousie University; Scottish Funding Council","keywords":"Akaike information criterion; Sigmoid function; Logistic function; Goodness of fit; Statistics; Mathematics; Econometrics; Logistic regression; Applied mathematics; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002030313,0.0008560344,0.0007721676,0.001166648,0.0004565141,0.001799743,0.0005312865,0.0006381761,0.0009259793],"category_scores_gemma":[0.004195288,0.0003698413,0.001037897,0.001335123,0.0003226259,0.000675973,0.000556403,0.000701667,0.0005396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00197719,"about_ca_system_score_gemma":0.001475894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1476289,"about_ca_topic_score_gemma":0.173662,"domain_scores_codex":[0.9994128,0.000123063,0.00003887634,0.0001458409,0.0001748691,0.0001046457],"domain_scores_gemma":[0.9990595,0.0003168059,0.0001658656,0.00009273298,0.0002918828,0.00007312488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003357919,0.0008164977,0.5197403,0.0005443048,0.000345505,0.0007697334,0.002936776,0.1924216,0.1341326,0.002490404,0.001523691,0.1409207],"study_design_scores_gemma":[0.00004028349,0.0009344357,0.4700693,0.00007182302,0.0001171185,0.0002229177,0.001197152,0.4849109,0.03613389,0.001308237,0.004822384,0.0001714207],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789168,0.0002282594,0.01877272,0.00004301349,0.00001339543,0.00007633152,0.0004650776,0.0001806301,0.001303701],"genre_scores_gemma":[0.9856962,0.0002346928,0.01155217,0.00001679032,0.000001990187,0.00003514661,0.000770833,0.00003495854,0.00165714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1476289,"threshold_uncertainty_score":0.2935392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0203111341962077,"score_gpt":0.2523212782903792,"score_spread":0.2320101440941715,"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."}}