{"id":"W595502183","doi":"10.1006/jaer.2000.0608","title":"PH—Postharvest Technology","year":2000,"lang":"en","type":"article","venue":"Journal of Agricultural Engineering Research","topic":"Food composition and properties","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; University of Saskatchewan","funders":"","keywords":"Breakage; Moisture; Sieve (category theory); Postharvest; Water content; Impeller; Pulp and paper industry; Materials science; Composite material; Environmental science; Horticulture; Mathematics; Engineering; Biology; Geotechnical engineering; Mechanical engineering","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":[0.0003720774,0.00008995928,0.0001555925,0.0003122804,0.0001022141,0.00008752749,0.0002900817,0.00008605187,0.0002805872],"category_scores_gemma":[0.0001001693,0.00005364202,0.0000758246,0.0006751986,0.0000468364,0.00024035,0.0000225684,0.0007851493,0.0001217988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009712226,"about_ca_system_score_gemma":0.00001219592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007486,"about_ca_topic_score_gemma":0.000001422195,"domain_scores_codex":[0.9988591,0.00004674106,0.0002576117,0.00008299486,0.0004453257,0.0003082405],"domain_scores_gemma":[0.9993093,0.00006980325,0.00003640715,0.00009127567,0.0003902737,0.0001029321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001007179,0.0002050322,0.0003041535,0.0001113038,0.0001165399,0.0001097546,0.0008541252,0.02056215,0.8513862,0.0002768445,0.01791267,0.1071541],"study_design_scores_gemma":[0.00216887,0.01065139,0.1451436,0.001068671,0.00004304648,0.005749233,0.001305335,0.0007993113,0.3964004,0.0002609838,0.4357009,0.0007082523],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893674,0.001051746,0.000002141024,0.007855347,0.0002955247,0.0000654148,8.579826e-7,0.00005126822,0.001310264],"genre_scores_gemma":[0.9981042,0.00005903317,0.0006111311,0.00002475659,0.0003589283,0.000002228277,8.863835e-7,0.000009600722,0.0008292997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4549858,"threshold_uncertainty_score":0.3411127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02424435660559255,"score_gpt":0.2852105724564755,"score_spread":0.260966215850883,"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."}}