{"id":"W2166426482","doi":"10.5539/mas.v9n10p54","title":"Using the Fiber Preparations in Meat Processing","year":2015,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Russian Science Foundation","keywords":"Fiber; Dietary fiber; Food science; Food products; Range (aeronautics); Business; Materials science; Chemistry; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002649664,0.000446714,0.0001285688,0.0005343495,0.0003034142,0.0004113643,0.0001439589,0.0003260613,0.001436146],"category_scores_gemma":[0.0001814107,0.0001496502,0.0003398597,0.0002909357,0.0002825961,0.0004463275,0.0003233196,0.0003384408,0.0004616848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709923,"about_ca_system_score_gemma":0.0001986731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004842242,"about_ca_topic_score_gemma":0.0008809385,"domain_scores_codex":[0.9998606,0.00002558555,0.000008841134,0.00004021128,0.00004610093,0.00001856034],"domain_scores_gemma":[0.9999478,0.00000961493,0.00001397549,0.000007257758,0.00001528485,0.000006144032],"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":[0.0002275458,0.00008414778,0.001002149,0.0003195135,0.00002181432,0.0001850899,0.0001102546,0.0002360519,0.9478133,0.0009191068,0.000104781,0.04897628],"study_design_scores_gemma":[0.00001453781,0.001306526,0.006261759,0.00006985027,0.00007255981,0.0005407702,0.0001360044,0.0005933327,0.9611112,0.0003489403,0.02952312,0.00002135133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9007844,0.03396946,0.04150943,0.0004150958,0.0004043026,0.0002033161,0.0001189943,0.0001008877,0.0224941],"genre_scores_gemma":[0.9282466,0.01586048,0.0427208,0.0002384017,0.00009475542,0.00005444985,0.0001226871,0.00004090297,0.01262089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001436146,"threshold_uncertainty_score":0.004804373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1721364782927674,"score_gpt":0.3081877761086852,"score_spread":0.1360512978159178,"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."}}