{"id":"W4407269125","doi":"10.1093/ijfood/vvaf040","title":"Development of chickpea beverages through enzymatic treatments: from rapid visco analyser to pilot plant production","year":2025,"lang":"en","type":"article","venue":"International Journal of Food Science & Technology","topic":"Food composition and properties","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología; Canada Foundation for Innovation; Global Affairs Canada; University of Manitoba","keywords":"Food science; Amylase; Chemistry; Homogenization (climate); Enzyme; Viscosity; Materials science; Biochemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004894634,0.0005988217,0.0005475904,0.0002282978,0.0002066655,0.0005346294,0.0004244901,0.0004128054,0.0007003085],"category_scores_gemma":[0.0004104056,0.0002072685,0.0006109264,0.0002917392,0.0002156772,0.0003004318,0.0003216205,0.0008747315,0.0004083287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002866239,"about_ca_system_score_gemma":0.0002514854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553812,"about_ca_topic_score_gemma":0.001715705,"domain_scores_codex":[0.9996581,0.00008506574,0.00002634636,0.00008897902,0.0001057041,0.00003576365],"domain_scores_gemma":[0.9997887,0.00005238185,0.00005246103,0.00003202508,0.00003858151,0.00003584444],"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":[0.00009901478,0.000074146,0.0002835584,0.00005276997,0.00001167814,0.00004514749,0.00001702167,0.0002072123,0.9972318,0.0000158267,0.00002063172,0.001941263],"study_design_scores_gemma":[0.00001243227,0.0009638919,0.003193948,0.000009565163,0.00004240669,0.00009697366,0.00002345443,0.001167178,0.9936239,0.00001278228,0.000844148,0.000009341261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9811994,0.000643988,0.01638837,0.00007940811,0.00003134103,0.0002377184,0.0003787726,0.0002475352,0.0007935092],"genre_scores_gemma":[0.9481704,0.0008842028,0.0481931,0.00004827443,0.00001151039,0.0001674924,0.0006824352,0.0001085046,0.001733999],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001553812,"threshold_uncertainty_score":0.003089607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03124238429732566,"score_gpt":0.3084805194595557,"score_spread":0.27723813516223,"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."}}