{"id":"W1968573573","doi":"10.1016/s0168-1656(01)00278-4","title":"Optimization of citric acid production from Candida lipolytica Y-1095 using n-paraffin","year":2001,"lang":"en","type":"article","venue":"Journal of Biotechnology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Citric acid; Aspergillus niger; Chemistry; Fermentation; Food science; Raw material; Biomass (ecology); Central composite design; Chromatography; Response surface methodology; Biology; Organic chemistry","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":[0.0002664492,0.0005524555,0.0004112794,0.0002721837,0.0002252614,0.0007133346,0.0003475402,0.0003027912,0.0005871209],"category_scores_gemma":[0.0002378418,0.0002224914,0.0004313946,0.0004684042,0.000156799,0.0003460832,0.0003459149,0.0003163135,0.0003062495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003814379,"about_ca_system_score_gemma":0.0004252752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001862345,"about_ca_topic_score_gemma":0.002981496,"domain_scores_codex":[0.9997569,0.00004592497,0.00004045427,0.00004366156,0.00006649192,0.00004659358],"domain_scores_gemma":[0.9999001,0.00002234315,0.00002653405,0.00001121388,0.00001719256,0.00002259208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003536242,0.0001312575,0.0003439662,0.00005760039,0.00001165347,0.00006361061,0.00001361735,0.0006369657,0.9960586,0.00003022277,0.00001887988,0.002279978],"study_design_scores_gemma":[0.00001353049,0.0002632721,0.0009052586,0.00000558022,0.0000178207,0.00003654848,0.0000240088,0.0007157225,0.9975774,0.000008839185,0.0004261646,0.000005877457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972042,0.0004761986,0.001125139,0.0000305385,0.00001068609,0.00002982391,0.000151751,0.00001995426,0.0009517466],"genre_scores_gemma":[0.9961714,0.0003416287,0.00206831,0.00001377021,0.000002329927,0.00001899023,0.0003905565,0.00001489747,0.0009780781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001862345,"threshold_uncertainty_score":0.003702998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00795265838140612,"score_gpt":0.2209604077972405,"score_spread":0.2130077494158344,"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."}}