{"id":"W4389978533","doi":"10.3390/foods13010005","title":"Legumes and Cereals: Physicochemical Characterization, Technical Innovation and Nutritional Challenges","year":2023,"lang":"en","type":"editorial","venue":"Foods","topic":"Food composition and properties","field":"Nursing","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Universitat Politècnica de València; Agriculture and Agri-Food Canada","keywords":"Characterization (materials science); Biotechnology; Business; Food science; Chemistry; Biology; Nanotechnology; Materials 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":[0.009420725,0.003241015,0.003489972,0.002459652,0.002409077,0.006663254,0.003084144,0.01316965,0.005283075],"category_scores_gemma":[0.02072697,0.001205857,0.00221911,0.001696817,0.00231405,0.004472115,0.00137043,0.0179447,0.006363462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002898577,"about_ca_system_score_gemma":0.003783175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00321284,"about_ca_topic_score_gemma":0.009609775,"domain_scores_codex":[0.99488,0.0007394598,0.0006932129,0.0004415656,0.00299216,0.0002537025],"domain_scores_gemma":[0.9767853,0.008622405,0.001009257,0.0004871355,0.01086851,0.002227314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005274696,0.00001671607,0.00002763729,0.0003943637,0.00002411921,0.00009319502,0.00001760093,0.00002350849,0.0001345513,0.0003354997,0.9875553,0.01132458],"study_design_scores_gemma":[0.00004615965,0.00005221642,0.0002989062,0.0005561749,0.00005618193,0.0002099467,0.00005197783,0.0001082255,0.0001502924,0.001007986,0.9974403,0.00002160047],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000516678,0.02431501,0.0001320766,0.03178991,0.9426316,0.00001546117,0.00003867253,0.00003375347,0.0009918202],"genre_scores_gemma":[0.0004364207,0.02671686,0.0001833273,0.02305651,0.9416099,0.00002162301,0.00004186704,0.00003540079,0.007898097],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01316965,"threshold_uncertainty_score":0.04982215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02898367808419062,"score_gpt":0.2861494366752778,"score_spread":0.2571657585910872,"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."}}