{"id":"W4414844394","doi":"10.1007/s11694-025-03619-6","title":"Assessment of various protein concentrates for suitability in 3D printed plant-based meat analogs for dysphagia diets","year":2025,"lang":"en","type":"article","venue":"Journal of Food Measurement & Characterization","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Ministry of Agriculture - Saskatchewan","keywords":"3d printed; Pea protein; Viscosity; Water holding capacity; Rheology; Dysphagia; Plant protein; Extrusion; High protein","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":[0.0001855429,0.0002401938,0.0001547284,0.0001824308,0.00009543766,0.0003251025,0.0002153059,0.0003271103,0.0008907579],"category_scores_gemma":[0.0003734779,0.0001321846,0.000235221,0.0001856393,0.0001452686,0.0002479609,0.0001631002,0.0003173327,0.0002129686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001650376,"about_ca_system_score_gemma":0.00009619062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004247969,"about_ca_topic_score_gemma":0.0008372555,"domain_scores_codex":[0.9998771,0.0000177401,0.00001096431,0.00003448634,0.0000436793,0.00001605392],"domain_scores_gemma":[0.9998726,0.00003462513,0.00003385886,0.0000093756,0.00003154654,0.0000179566],"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":[0.0001665006,0.00003475611,0.000229192,0.00007741618,0.000009289219,0.00004486221,0.00002411808,0.0004157033,0.9961836,0.00003634566,0.00002572758,0.002752506],"study_design_scores_gemma":[0.000007573218,0.0004640163,0.003094922,0.00001069787,0.00004069974,0.00007413347,0.0000467196,0.001828226,0.9933344,0.00001715536,0.001070434,0.0000108453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938887,0.0006410503,0.004391031,0.00002763856,0.0000227838,0.00002348866,0.0002226378,0.00005423514,0.0007283923],"genre_scores_gemma":[0.9881578,0.0006064207,0.009122163,0.00004297807,0.000003512794,0.00004444708,0.0002879612,0.00002959995,0.001705082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008907579,"threshold_uncertainty_score":0.002979875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04530150133942929,"score_gpt":0.2697290371253979,"score_spread":0.2244275357859686,"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."}}