{"id":"W2019256389","doi":"10.1016/j.foodres.2011.03.011","title":"Complex coacervation in pea protein isolate–chitosan mixtures","year":2011,"lang":"en","type":"article","venue":"Food Research International","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":136,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Advanced Foods and Materials Network","keywords":"Biopolymer; Coacervate; Chemistry; Polysaccharide; Chitosan; Pea protein; Cationic polymerization; Chromatography; Biochemistry; Polymer chemistry; Organic chemistry; Polymer","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008652111,0.00009877706,0.0001081109,0.0000824501,0.0001345089,0.00007931345,0.0007399255,0.00009812549,0.001150271],"category_scores_gemma":[0.0001833426,0.00004366606,0.0000498525,0.0003456094,0.00009903893,0.0002377556,0.0002160811,0.000335363,0.0001005437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006483403,"about_ca_system_score_gemma":0.0000183263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00137664,"about_ca_topic_score_gemma":0.002091494,"domain_scores_codex":[0.9979697,0.0003121775,0.0002705819,0.0002991369,0.0007970647,0.0003513633],"domain_scores_gemma":[0.999521,0.00008367182,0.00006320369,0.00007430711,0.0001770935,0.00008078643],"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":[0.0001618675,0.0002845612,0.005355687,0.000009519242,0.00003242257,0.000011931,0.0005053962,0.000002010895,0.9629257,0.01793858,0.00117033,0.01160199],"study_design_scores_gemma":[0.001288241,0.004403891,0.5618279,0.0003249481,0.000003154416,0.00003759882,0.001859076,0.003196569,0.2849783,0.08170074,0.05958661,0.0007929512],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448926,0.00005568707,0.00001164117,0.001773482,0.0001935812,0.0006475385,0.00005133745,0.00004917833,0.05232499],"genre_scores_gemma":[0.9987319,0.000004893796,0.0002320769,0.00004343471,0.0004057807,0.0001878148,0.00007336037,0.000001530058,0.0003191775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6779474,"threshold_uncertainty_score":0.9997628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.34769366269425,"score_gpt":0.3521423790939834,"score_spread":0.004448716399733377,"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."}}