{"id":"W4297695307","doi":"10.4172/2329-6674.1000115","title":"Extraction of Oil from Mackerel Fish Processing Waste using Alcalase Enzyme","year":2013,"lang":"en","type":"article","venue":"Enzyme Engineering","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Fish oil; Extraction (chemistry); Fish <Actinopterygii>; Fish processing; Mackerel; Environmental science; Chromatography; Chemistry; Fishery; Food science; Pulp and paper industry; Biology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007580328,0.0001685743,0.000165733,0.00005329174,0.00004128118,0.0000351477,0.000118757,0.0001299937,0.00006284978],"category_scores_gemma":[0.00005826255,0.000164782,0.0000891749,0.00008996105,0.00002564915,0.00002300023,0.00006606051,0.0001062623,0.000006153377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002069034,"about_ca_system_score_gemma":0.00002536796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002065879,"about_ca_topic_score_gemma":0.000006005713,"domain_scores_codex":[0.9991419,0.00001693655,0.000232314,0.0002671358,0.0001245811,0.0002171173],"domain_scores_gemma":[0.9995288,0.00001254146,0.000106251,0.0002090775,0.00007210684,0.00007122912],"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":[0.00001002438,0.00002890284,0.0001160173,0.00003756695,0.00004192944,0.000001329012,0.00002261579,0.00927415,0.9858063,0.000002564203,0.0001497492,0.004508869],"study_design_scores_gemma":[0.0002082394,0.00003250938,0.0004830699,0.00007324623,0.00002034383,0.000005991464,0.00004538874,0.05556111,0.9417492,0.000005905522,0.001626231,0.0001887852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816859,0.0009431659,0.01700984,0.00003087062,0.00009945141,0.00006958864,0.00001882926,0.00002312259,0.0001192868],"genre_scores_gemma":[0.9936476,0.00004776055,0.005579144,0.00003586521,0.0004102365,0.0000228981,0.00005550491,0.00003113145,0.0001698917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04628696,"threshold_uncertainty_score":0.6719617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008976371051949207,"score_gpt":0.2237984671496963,"score_spread":0.2148220960977471,"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."}}