{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004730915,0.0002512284,0.0002543301,0.000194746,0.0001481602,0.00002041239,0.0001575695,0.0002635256,0.000006533062],"category_scores_gemma":[0.0002649538,0.0002659318,0.00006980366,0.0005168289,0.00004098368,0.00004213008,0.000055011,0.0002089438,0.000007722742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002009435,"about_ca_system_score_gemma":0.00002593793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002372346,"about_ca_topic_score_gemma":0.0000321453,"domain_scores_codex":[0.9982694,0.0001149272,0.0004983534,0.000597331,0.0002256114,0.0002943952],"domain_scores_gemma":[0.9991524,0.000002420939,0.0002057711,0.000373625,0.0001871747,0.00007857193],"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":[0.00006098238,0.0001589436,0.00003074004,0.00006623026,0.00003470168,0.000001391804,0.000003138877,0.1009333,0.894375,0.0007295851,0.000006366956,0.003599627],"study_design_scores_gemma":[0.0008642055,0.0001966502,0.0003124448,0.00006471506,0.00003275704,0.00004962322,0.0000336638,0.00009093002,0.9944233,0.0001293726,0.00348488,0.0003174846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970649,0.0006879435,0.0001784659,0.00003119304,0.0009303224,0.0004663362,0.0001325369,0.00004796078,0.0004603408],"genre_scores_gemma":[0.9966318,0.000496821,0.001933557,0.00003218767,0.0001030648,0.00004570667,0.000319153,0.00004749814,0.0003902295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1008423,"threshold_uncertainty_score":0.9999793,"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."}}