{"id":"W3095340190","doi":"10.1002/cyto.a.24258","title":"Evaluating the Cytometric Detection and Enumeration of the Wine Bacterium, <i>Oenococcus oeni</i>","year":2020,"lang":"en","type":"article","venue":"Cytometry Part A","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Wine Australia; University of Adelaide; Australian Government","keywords":"Oenococcus oeni; Wine; Enumeration; Flow cytometry; Cytometry; Bacteria; Yeast; Biology; Malolactic fermentation; Food science; Chemistry; Biochemistry; Molecular biology; Mathematics; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002506301,0.00006994105,0.0001045277,0.00001771838,0.0002543681,0.00004692113,0.0001184865,0.00003257572,0.0002329187],"category_scores_gemma":[0.0002664355,0.00002057412,0.00007119116,0.001985782,0.00005351201,0.00007519413,0.00004847269,0.00008009067,0.00001176677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008494479,"about_ca_system_score_gemma":0.000003267324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001480271,"about_ca_topic_score_gemma":0.00001726166,"domain_scores_codex":[0.9991954,0.0001668749,0.0001829046,0.0001515373,0.0002109644,0.00009232665],"domain_scores_gemma":[0.9995602,0.0001749741,0.0001162923,0.00004672205,0.00005766272,0.00004415479],"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":[0.00002496022,0.00001145424,0.007136975,0.000004811661,0.000014733,1.28593e-7,0.0001445068,0.00002726088,0.9489469,0.000005217431,0.00007409787,0.04360896],"study_design_scores_gemma":[0.0003203195,0.0006648078,0.7636688,0.00001142977,0.0001197305,0.000006489163,0.0008488168,0.008738229,0.2120182,0.00004043763,0.01338857,0.0001742363],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962248,0.00007748319,0.00002164724,0.003276596,0.00006275529,0.0001453991,0.00001012582,0.00001734313,0.0001638619],"genre_scores_gemma":[0.9984918,0.0000150454,0.00001792502,0.001158732,0.0002113544,0.00000745618,0.000006965377,5.687172e-7,0.00009011731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7565318,"threshold_uncertainty_score":0.2550296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08175637949735415,"score_gpt":0.2881535690179834,"score_spread":0.2063971895206293,"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."}}