{"id":"W2349078118","doi":"","title":"Optimization of initial fermentation media of coliform group by response surface methodology","year":2013,"lang":"en","type":"article","venue":"Science and Technology of Food Industry","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Lactose; Response surface methodology; Food science; Fermentation; Mathematics; Yeast; Box–Behnken design; Chemistry; Microbiology; Biology; Biochemistry; Statistics","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":[0.0005922882,0.00005946044,0.000122283,0.0001374544,0.0000289591,0.000002503798,0.0001348639,0.0003373555,0.000007732025],"category_scores_gemma":[0.0005399346,0.00005541661,0.00001124005,0.0004569706,0.0008776315,0.00001202267,0.00006051482,0.00009849139,1.523285e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005368898,"about_ca_system_score_gemma":0.00007057261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001784649,"about_ca_topic_score_gemma":0.000001077035,"domain_scores_codex":[0.9994181,0.00003090257,0.0001846065,0.0001691478,0.00008965702,0.0001075933],"domain_scores_gemma":[0.9994504,0.000007631946,0.0001312662,0.0001464128,0.0002417013,0.00002261867],"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":[0.00003830119,0.00002501189,0.0003870267,0.00001037851,0.00000824626,2.173234e-8,0.00002718911,0.0001142926,0.9962575,0.0001127846,0.0001031744,0.002916043],"study_design_scores_gemma":[0.0002008705,0.0005506228,0.000919663,0.000008916852,0.000007028711,0.000008254593,0.0003030037,0.0000327773,0.9977515,0.00008617505,0.0000819196,0.00004930458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981884,0.0002195698,0.001094572,0.0002578945,0.00009331099,0.0001030554,0.00001618987,0.000007223409,0.0000198296],"genre_scores_gemma":[0.9894387,0.00005240033,0.01045616,0.000009892373,0.00001367373,0.000003717039,0.000009750461,0.000003319499,0.00001245823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009361586,"threshold_uncertainty_score":0.323367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718343870957104,"score_gpt":0.278577809147752,"score_spread":0.2613943704381809,"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."}}