{"id":"W3016312617","doi":"10.1016/j.foodres.2020.109249","title":"Aging indicators for stored carioca beans","year":2020,"lang":"en","type":"article","venue":"Food Research International","topic":"Postharvest Quality and Shelf Life Management","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Empresa Brasileira de Pesquisa Agropecuária; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Horticulture; Phaseolus; Cold hardening; Hardening (computing); Dry bean; Cotyledon; Chemistry; Biology; Botany","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":[0.0007035931,0.00006065874,0.00007214789,0.00003283063,0.0002025963,0.0001252274,0.0005207567,0.00003806948,0.0004327909],"category_scores_gemma":[0.0003827478,0.00002690002,0.00006926189,0.0002877482,0.00005941824,0.0001070042,0.0001916754,0.0001597006,0.00005320885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004371298,"about_ca_system_score_gemma":0.00001336778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004763614,"about_ca_topic_score_gemma":0.000200514,"domain_scores_codex":[0.9986601,0.00009685038,0.0001406088,0.0002372088,0.0006066377,0.0002585246],"domain_scores_gemma":[0.9994277,0.0002485574,0.00003158372,0.00002432386,0.0001149928,0.0001528505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007226365,0.0007641124,0.02489374,0.0001516183,0.0008176821,0.00003339333,0.004697663,0.00009536756,0.1191376,0.2971984,0.2754739,0.2760139],"study_design_scores_gemma":[0.0001952155,0.0005207626,0.02707558,0.00000982198,0.000002495234,4.493611e-7,0.0005467324,0.0004166109,0.001854665,0.001119387,0.9681622,0.00009607581],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8722138,0.00006083772,0.0001736106,0.1198567,0.000230405,0.00045351,0.0003717549,0.00007190761,0.006567462],"genre_scores_gemma":[0.9969904,0.00001002264,0.000108169,0.001113405,0.0008623731,0.00005943728,0.0001615977,8.476824e-7,0.0006937602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6926883,"threshold_uncertainty_score":0.4738756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2636436188217141,"score_gpt":0.3797043170276535,"score_spread":0.1160606982059394,"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."}}