{"id":"W3183654669","doi":"10.82308/8792","title":"Optimization of citric acid production by Aspergillus niger : NRRL 567 in various fermentation systems","year":2004,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aspergillus niger; Fermentation; Citric acid; Production (economics); Food science; Chemistry; Biotechnology; Pulp and paper industry; Business; Biology; Engineering; Economics","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":[0.0007217093,0.001151157,0.001256581,0.0004715514,0.0002783097,0.001140209,0.0006061058,0.0007485492,0.0003694003],"category_scores_gemma":[0.0005634487,0.0002961804,0.0005983299,0.000974734,0.0002549388,0.0004552957,0.000622733,0.0006267026,0.0004155712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006591819,"about_ca_system_score_gemma":0.0005958104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002902615,"about_ca_topic_score_gemma":0.004305799,"domain_scores_codex":[0.9990434,0.0001988313,0.0002101488,0.0001815646,0.0002543191,0.0001116914],"domain_scores_gemma":[0.9996966,0.000074811,0.00005986152,0.0000312046,0.00006523662,0.00007234594],"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":[0.0004614156,0.0003808716,0.0004616906,0.0001751476,0.00002329276,0.0001061745,0.00004234127,0.00157647,0.9941064,0.00003812818,0.00003811273,0.002589757],"study_design_scores_gemma":[0.00004830999,0.00238202,0.003946427,0.00005086699,0.00009517389,0.0001548619,0.0001461766,0.003563948,0.9877738,0.00004054221,0.00175486,0.00004301762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945524,0.001457901,0.001951437,0.00008303212,0.00002953348,0.0001524687,0.0004195259,0.00006675439,0.001287017],"genre_scores_gemma":[0.9791269,0.002562121,0.0155183,0.00006060728,0.00001058219,0.0001785669,0.0009061869,0.00004517617,0.001591455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002902615,"threshold_uncertainty_score":0.005771458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006032921262008235,"score_gpt":0.1981655570572341,"score_spread":0.1921326357952259,"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."}}