{"id":"W2574502321","doi":"10.1016/j.lwt.2017.01.048","title":"Preparation of branched canola protein isolate and effects of molecular architecture on solution flow properties","year":2017,"lang":"en","type":"article","venue":"LWT","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; McMaster University; Agriculture and Agri-Food Canada","funders":"Canola Council of Canada","keywords":"Branching (polymer chemistry); Canola; Shear thinning; Dilatant; Shear rate; Extender; Chemistry; Shear (geology); Chemical engineering; Materials science; Organic chemistry; Rheology; Composite material; Food science","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":[0.0002167979,0.0004429233,0.0001982519,0.0002498035,0.0002221141,0.0002774947,0.0001615047,0.0001935159,0.0009776652],"category_scores_gemma":[0.0003746893,0.0001293403,0.00018325,0.0003574701,0.0002006769,0.0003227133,0.0001899464,0.0006924292,0.0002368644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001800041,"about_ca_system_score_gemma":0.0001641519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006196877,"about_ca_topic_score_gemma":0.0009254462,"domain_scores_codex":[0.9999087,0.00001292387,0.000006981767,0.00002340856,0.00001924937,0.00002875861],"domain_scores_gemma":[0.999833,0.0000496411,0.00003900144,0.00001326378,0.00003231181,0.00003283342],"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":[0.00005573467,0.00001726329,0.00005483324,0.00001243466,0.000002552721,0.00001086086,0.00001497815,0.0000718414,0.9993655,0.0000267673,0.000007107864,0.0003601398],"study_design_scores_gemma":[0.000003060056,0.00004556464,0.00034148,0.000001383982,0.000004876184,0.000007762594,0.000006088492,0.0002299168,0.999151,0.000008658914,0.0001985323,0.000001659774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995387,0.0001805413,0.003608864,0.00004584344,0.00001029252,0.000026843,0.0001236621,0.00003898742,0.0005778677],"genre_scores_gemma":[0.9870412,0.0004292277,0.009412014,0.00005974227,0.00001248584,0.0000692971,0.0007815234,0.00009989427,0.002094502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009776652,"threshold_uncertainty_score":0.003270626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449596076080878,"score_gpt":0.2278934303686593,"score_spread":0.2133974696078505,"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."}}