{"id":"W2388666479","doi":"","title":"Optimization of corn porous starch production based response surface design","year":2009,"lang":"en","type":"article","venue":"Food Science and Technology International","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Hydrolysis; Response surface methodology; Chemistry; Starch; Chromatography; Enzymatic hydrolysis; Absorption (acoustics); Porosity; Absorption of water; Corn starch; Chemical engineering; Food science; Materials science; Biochemistry; Organic chemistry; Composite material","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":[0.0005069126,0.00005791537,0.00005015898,0.0002049286,0.00007955028,0.00001502756,0.0001740107,0.00007423434,0.000009264309],"category_scores_gemma":[0.0005267127,0.00005783231,0.000008471057,0.0003951232,0.0002818644,0.00001780148,0.0000298269,0.00004672108,6.746174e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001846746,"about_ca_system_score_gemma":0.0001551299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.232609e-7,"about_ca_topic_score_gemma":3.054869e-7,"domain_scores_codex":[0.9993082,0.00002403993,0.0001196842,0.0002700401,0.0001852097,0.00009278344],"domain_scores_gemma":[0.9992059,0.000003817821,0.00008064896,0.0001533942,0.0005363126,0.00001989479],"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":[0.0002965285,0.00004519156,0.0008176521,0.000001142669,0.000004816594,2.040337e-7,0.00001646511,0.004782054,0.9923495,0.000233915,0.00008502031,0.001367515],"study_design_scores_gemma":[0.0002014582,0.00103935,0.00287949,0.000006156764,0.000002853313,0.00001886608,0.00004269094,0.003585478,0.9915687,0.000133911,0.0004532445,0.00006774622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959334,0.0000318149,0.03311293,0.007123599,0.0001976197,0.0001141468,0.000004976519,0.00002566338,0.0000552309],"genre_scores_gemma":[0.99086,0.00001919311,0.008864352,0.0001071373,0.00003381458,0.000003146364,0.00001962661,0.000003142494,0.00008963031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03152594,"threshold_uncertainty_score":0.2358333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336984575937458,"score_gpt":0.2550255414428104,"score_spread":0.2416556956834358,"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."}}