{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000157891,0.000230331,0.0003024532,0.0001948475,0.0001304318,0.0001173054,0.0001005258,0.0005951388,0.00001169694],"category_scores_gemma":[0.0003066473,0.0002275922,0.00003263366,0.0002272998,0.0001388091,0.0001468763,0.00009462459,0.0004545273,0.0000140223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004262429,"about_ca_system_score_gemma":0.00003180138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005791979,"about_ca_topic_score_gemma":0.000003761484,"domain_scores_codex":[0.9986804,0.0000650065,0.0003011293,0.0004035274,0.0003662037,0.0001837341],"domain_scores_gemma":[0.9990802,0.0003392113,0.000127314,0.0001556728,0.0002505667,0.00004701972],"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":[0.0006312793,0.0001070375,0.000005844032,0.0007669239,0.00005071993,0.000002137448,0.0002301758,6.708521e-8,0.04411931,0.001222655,0.9304503,0.02241354],"study_design_scores_gemma":[0.0005636686,0.0007102058,0.0006903445,0.0004655578,0.00004427251,0.000005783731,0.00003419122,0.00002733831,0.002719656,0.002399124,0.9919941,0.000345803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.01554153,0.002688032,0.00002094996,0.01207521,0.9666228,0.0004695245,0.0008360476,0.0007859526,0.0009599681],"genre_scores_gemma":[0.06945226,0.002140156,0.000311178,0.0001803525,0.9190806,0.0001797533,0.008203269,0.0001404448,0.000312023],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.06154375,"threshold_uncertainty_score":0.9280941,"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."}}