{"id":"W2802843940","doi":"10.1080/07373937.2018.1454942","title":"Effects of drying methods on quality attributes of peach (<i>Prunus persica</i>) leather","year":2018,"lang":"en","type":"article","venue":"Drying Technology","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Flavor; Aroma; Odor; Microstructure; Water content; Food science; Moisture; Prunus; Chemistry; Electronic tongue; Mathematics; Taste; Materials science; Horticulture; Composite material; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002718199,0.0003270962,0.0002591074,0.0003094973,0.0001743484,0.000308591,0.0001455147,0.000179357,0.000534643],"category_scores_gemma":[0.0004664375,0.0001411146,0.0004069872,0.0003561199,0.0001285698,0.0003384234,0.0001279811,0.000408577,0.00009261982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001192768,"about_ca_system_score_gemma":0.00007411545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008216975,"about_ca_topic_score_gemma":0.002030564,"domain_scores_codex":[0.999827,0.00003813035,0.00001743444,0.00003775515,0.00005982732,0.0000199041],"domain_scores_gemma":[0.9997174,0.00008778579,0.00008109579,0.00002283811,0.00006530134,0.00002560774],"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":[0.0004682955,0.0000791094,0.002453632,0.0002218024,0.00005300037,0.00008503759,0.00006387184,0.0003066992,0.9883746,0.00002013425,0.00003123052,0.007842485],"study_design_scores_gemma":[0.0000191395,0.00184748,0.06860346,0.00002718747,0.0001819433,0.0003467288,0.0001938818,0.001703038,0.925477,0.0000402657,0.001532812,0.00002714482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959257,0.001932213,0.001562202,0.00001828748,0.000015729,0.00001640331,0.00009110861,0.00001668108,0.0004217076],"genre_scores_gemma":[0.9945242,0.001264002,0.003533198,0.0000350928,0.000006312889,0.00001315699,0.0001579816,0.00001681823,0.0004493061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008216975,"threshold_uncertainty_score":0.001788616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04278666568391588,"score_gpt":0.3299717815496573,"score_spread":0.2871851158657415,"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."}}