{"id":"W2394122162","doi":"","title":"Texture of Yogurt Gels and its Influencing Factors","year":2005,"lang":"en","type":"article","venue":"Sichuan Food and Fermetation","topic":"Food Quality and Safety Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Texture (cosmology); Homogenization (climate); Microstructure; Food science; Materials science; Mathematics; Composite material; Chemistry; Artificial intelligence; Computer science; Biology","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":[0.0001005974,0.00007582128,0.0001244465,0.000008923761,0.0001286829,0.00001552374,0.00003360593,0.00004811871,0.0000144158],"category_scores_gemma":[0.00004131146,0.00002939994,0.0000267824,0.00009778317,0.0000342425,0.0001547858,0.00002341905,0.00004575845,0.000001513465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003810682,"about_ca_system_score_gemma":0.000001739546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001705097,"about_ca_topic_score_gemma":0.0004063565,"domain_scores_codex":[0.9995235,0.00002931527,0.0001383128,0.0001261158,0.00008774037,0.00009503696],"domain_scores_gemma":[0.9997624,0.00008637038,0.00005870947,0.0000153574,0.00004114537,0.00003607928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006667357,0.00009136357,0.02294936,0.00008887067,0.000125126,3.180869e-7,0.009027849,0.00001844554,0.5702203,0.01163439,0.00007636702,0.385701],"study_design_scores_gemma":[0.0001487616,0.0005295764,0.9728552,0.00002031718,0.00002690691,0.00000128275,0.003016132,0.00006221829,0.01916353,0.001009759,0.003025356,0.0001409854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970037,0.001569735,0.000001114418,0.0009662104,0.00001979188,0.00007723423,0.00001981373,0.0000167244,0.000325655],"genre_scores_gemma":[0.9995918,0.000145017,0.0000224747,0.0001160157,0.00006091334,0.000001942404,0.00001417335,3.898329e-7,0.0000472257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9499058,"threshold_uncertainty_score":0.1198895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03408227076025933,"score_gpt":0.2325626154783842,"score_spread":0.1984803447181249,"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."}}