{"id":"W2043490979","doi":"10.1111/j.1745-4522.2004.tb00267.x","title":"LIPASE‐CATALYZED ACIDOLYSIS OF ALGAL OILS WITH CAPRIC ACID: OPTIMIZATION OF REACTION CONDITIONS USING RESPONSE SURFACE METHODOLGY","year":2004,"lang":"en","type":"article","venue":"Journal of Food Lipids","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Capric Acid; Chemistry; Docosapentaenoic acid; Docosahexaenoic acid; Lipase; Substrate (aquarium); Catalysis; Fatty acid; Algae fuel; Enzyme; Candida antarctica; Response surface methodology; Hydrolysis; Chromatography; Organic chemistry; Polyunsaturated fatty acid; Biodiesel; Lauric acid","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":[0.000713203,0.0001220163,0.0003082094,0.0001649839,0.00004837583,0.00001049231,0.0001173083,0.0001250293,0.000009680234],"category_scores_gemma":[0.0003505921,0.0001028799,0.0001650832,0.0003766026,0.00007799877,0.00003398406,0.00002321109,0.00008759445,2.09339e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004746521,"about_ca_system_score_gemma":0.0002729755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001394131,"about_ca_topic_score_gemma":0.000007438697,"domain_scores_codex":[0.9987594,0.000199197,0.0005588522,0.0001412017,0.0002288947,0.0001124191],"domain_scores_gemma":[0.9981391,0.00003525502,0.00090475,0.0002388276,0.0006161997,0.00006590792],"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":[0.0009744696,0.000118354,0.0000878124,0.00002136867,0.0002097185,7.44561e-7,0.00008189609,0.1873741,0.8110519,0.00001226814,0.00001671167,0.00005061027],"study_design_scores_gemma":[0.001278011,0.001372428,0.0004984009,0.00007728195,0.0002864988,0.00009693768,0.000203472,0.0002191421,0.9957927,0.000015232,0.00005486113,0.0001050071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8627856,0.0004416123,0.1365235,0.00004768729,0.00008776953,0.00006850347,0.00002807509,0.000002284103,0.00001498192],"genre_scores_gemma":[0.9645154,0.0001127817,0.03514275,0.00001381356,0.00009496769,9.743021e-7,0.00008874823,0.00001752436,0.00001302599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.187155,"threshold_uncertainty_score":0.419532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107723115406747,"score_gpt":0.2834089498636126,"score_spread":0.2623317187095451,"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."}}