{"id":"W18125149","doi":"10.1002/hlca.19490320109","title":"Формирование качественных характеристик специализированного продукта с использованием местного растительного сырья","year":2014,"lang":"ru","type":"article","venue":"Food Processing Techniques and Technology","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organoleptic; Product (mathematics); Quality (philosophy); Documentation; Raw material; Business; Food science; Advertising; Athletes; Marketing; Engineering; Computer science; Mathematics; Medicine; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007054665,0.0003385844,0.0003782019,0.001952071,0.00102725,0.002746978,0.0004371685,0.0007019801,0.01251478],"category_scores_gemma":[0.001037281,0.0005293856,0.0004879652,0.001624989,0.001294347,0.001124435,0.0008684017,0.001207623,0.004536112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009812681,"about_ca_system_score_gemma":0.001760222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003260024,"about_ca_topic_score_gemma":0.004971169,"domain_scores_codex":[0.9992218,0.00009697246,0.0000486873,0.0001657432,0.0003677482,0.00009909021],"domain_scores_gemma":[0.9994079,0.0001492128,0.0001224131,0.00008058039,0.0001814179,0.00005855034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003321209,0.0001782013,0.006311208,0.001327472,0.00006935199,0.001865464,0.002064697,0.002316908,0.2323174,0.1171373,0.005853615,0.6302263],"study_design_scores_gemma":[0.00007280047,0.0003926031,0.02004524,0.0004095965,0.0001605026,0.004655748,0.002025267,0.002263981,0.156401,0.03442305,0.7789064,0.000243674],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2650896,0.08022314,0.1852685,0.004492858,0.00202626,0.0004957695,0.001690626,0.0007974649,0.4599158],"genre_scores_gemma":[0.7892695,0.03376507,0.102492,0.0002993227,0.0003422246,0.0004599556,0.000623879,0.0003019345,0.07244619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01251478,"threshold_uncertainty_score":0.04186606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006745906610239,"score_gpt":0.2331448257143175,"score_spread":0.2130773666482151,"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."}}