{"id":"W1967184777","doi":"10.5539/enrr.v2n1p73","title":"Modelling and Simulation of Citric Acid Production from Corn Starch Hydrolysate Using Aspergillus Niger","year":2012,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citric acid; Hydrolysate; Aspergillus niger; Fermentation; Gompertz function; Chemistry; Food science; Industrial fermentation; Substrate (aquarium); Biochemistry; Mathematics; Hydrolysis; Biology; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004672969,0.00009954363,0.0001090379,0.0001818685,0.0001399771,0.00001918009,0.00005005431,0.00008624857,0.00003714933],"category_scores_gemma":[0.00001623369,0.00008493812,0.0000201609,0.0001344146,0.0001386763,0.0002145454,0.00008026246,0.0003209561,0.000005645698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006650317,"about_ca_system_score_gemma":0.000001991223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004539353,"about_ca_topic_score_gemma":2.519951e-7,"domain_scores_codex":[0.9989393,0.00008102126,0.0001429417,0.0001971437,0.0003770155,0.0002625645],"domain_scores_gemma":[0.9996929,0.00005385856,0.00002335415,0.0001309312,0.00001447502,0.00008455125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002328455,0.00004435225,0.01147774,0.0001487042,0.00005242397,7.173845e-7,0.002441748,0.4550864,0.5174918,0.00000179914,0.00002588543,0.01299551],"study_design_scores_gemma":[0.0002138159,0.00003841467,0.004394067,0.00002025993,0.00001231537,0.000001708022,0.0002705528,0.9149389,0.07508825,0.00004846165,0.004841157,0.000132099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888297,0.01047209,0.0002828076,0.00004522045,0.0001389365,0.0001724083,0.000003310807,0.00002352476,0.00003197763],"genre_scores_gemma":[0.9975343,0.001557863,0.0005145631,0.000002516649,0.0002433689,0.000001916744,0.000009589754,0.00001482919,0.000121047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4598525,"threshold_uncertainty_score":0.3463676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0423520769622405,"score_gpt":0.2652458456323834,"score_spread":0.2228937686701429,"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."}}