{"id":"W4415912719","doi":"10.35219/ifrb.24.02","title":"Statistical approach to assess the palm oil mill effluents biotreatment with Yarrowia Lipolytica","year":2023,"lang":"","type":"article","venue":"Innovative Romanian Food Biotechnology","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Islamic University Malaysia; Agence Universitaire de la Francophonie; Universitatea 'Dunărea de Jos' Galați","keywords":"Yarrowia; Pome; Biodegradation; Effluent; Statistical analysis; Palm oil; Response surface methodology; Bioreactor; Edible oil","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012593,0.0008424766,0.001743278,0.002207027,0.0005983433,0.001263528,0.0008823591,0.0007450823,0.002916048],"category_scores_gemma":[0.01759885,0.0002355929,0.00164223,0.001937922,0.0008488524,0.0005324942,0.0009218644,0.001687905,0.000412404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005605005,"about_ca_system_score_gemma":0.001597041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006303816,"about_ca_topic_score_gemma":0.0005033565,"domain_scores_codex":[0.9843705,0.006577902,0.00153161,0.002619662,0.004371805,0.0005284056],"domain_scores_gemma":[0.9813513,0.01402606,0.001769675,0.001101384,0.001523025,0.000228587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01020721,0.003835718,0.1570402,0.005446447,0.005150326,0.0007785817,0.002524683,0.01803694,0.2824185,0.01301653,0.002783502,0.4987614],"study_design_scores_gemma":[0.0005302673,0.06228319,0.4526547,0.0003988919,0.003547787,0.001888937,0.00307869,0.2031678,0.2259655,0.01047691,0.03563547,0.0003718845],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5185907,0.001200888,0.4704907,0.0002786196,0.0003718272,0.00225945,0.002514665,0.001010718,0.003282357],"genre_scores_gemma":[0.6708341,0.0004404128,0.3177819,0.0001455398,0.0001049056,0.006975411,0.001784923,0.0001477007,0.001785185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.012593,"threshold_uncertainty_score":0.06659895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0263082549567335,"score_gpt":0.2662770355600374,"score_spread":0.2399687806033039,"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."}}