{"id":"W4284711340","doi":"10.1016/j.foodhyd.2022.107896","title":"Quantifying and modeling the gelatinization properties of individual pulse-starch granules by ParCS","year":2022,"lang":"en","type":"article","venue":"Food Hydrocolloids","topic":"Food composition and properties","field":"Nursing","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Starch; Starch gelatinization; Pulse (music); Materials science; Biological system; Chemistry; Chemical engineering; Food science; Biology; Physics; Optics; Engineering","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":[0.0004176494,0.0001390672,0.0001761113,0.00009634935,0.000926747,0.00008788404,0.00026538,0.00003922515,0.00004061221],"category_scores_gemma":[0.00002696894,0.0001044256,0.00004944913,0.0002780323,0.0001005396,0.0001471288,0.0002221735,0.0002548602,0.000001421186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003099836,"about_ca_system_score_gemma":0.00002475392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008828738,"about_ca_topic_score_gemma":0.00002136223,"domain_scores_codex":[0.9985151,0.0002629782,0.0003158053,0.0002161273,0.0004754983,0.0002145444],"domain_scores_gemma":[0.9995998,0.00003962675,0.0000934263,0.0001793023,0.00005034197,0.00003753561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009368863,0.000967171,0.006972406,0.001079477,0.0006337071,0.000002366329,0.1447825,0.1560231,0.6171387,0.001845399,0.002424441,0.05876184],"study_design_scores_gemma":[0.003417696,0.01511934,0.0004265199,0.0002986836,0.0003187761,0.00007568236,0.02874908,0.7091009,0.2230891,0.0018529,0.01638082,0.00117048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994242,0.003140785,0.0001000606,0.001363729,0.0001968604,0.0005713102,0.00006383577,0.00006890661,0.0002525825],"genre_scores_gemma":[0.9992609,0.0000121527,0.0001154943,0.0002927192,0.00003620619,0.0001741754,0.00004327514,0.0000285681,0.00003652782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5530778,"threshold_uncertainty_score":0.7127882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07563993070007372,"score_gpt":0.2669155183583187,"score_spread":0.191275587658245,"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."}}