{"id":"W4320179523","doi":"10.1016/j.atech.2023.100198","title":"Comparison of the energy and exergy parameters in cantaloupe (Cucurbita maxima) drying using hot air","year":2023,"lang":"en","type":"article","venue":"Smart Agricultural Technology","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cucurbita maxima; Maxima; Exergy; Environmental science; Agricultural engineering; Materials science; Process engineering; Pulp and paper industry; Horticulture; Mathematics; Engineering; Biology; History","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":[0.000110824,0.0001626491,0.000296161,0.00005926016,0.0002006076,0.00001560646,0.0003123132,0.0002164316,0.000003266683],"category_scores_gemma":[0.0000509572,0.00005331044,0.0000630237,0.001534573,0.0001696321,0.00006846129,0.0002849872,0.000174272,0.000001876963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000352472,"about_ca_system_score_gemma":0.000006376823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002242656,"about_ca_topic_score_gemma":0.006428497,"domain_scores_codex":[0.9988202,0.00004651307,0.000303513,0.0003066292,0.0001468106,0.0003763354],"domain_scores_gemma":[0.9996324,0.00008087791,0.0001254192,0.00008035008,0.00004306729,0.00003792389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001520323,0.00004497162,0.09049779,0.00001106935,0.00001715951,0.000003906704,0.0001623886,0.001032202,0.8913381,0.001063573,0.0002259557,0.01558774],"study_design_scores_gemma":[0.0005081418,0.0004906032,0.6179315,0.0003322129,0.00004650005,0.00009069667,0.01165268,0.008303316,0.3547554,0.002715966,0.002401347,0.0007715915],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976307,0.0003000268,0.0000014013,0.001536542,0.0001747257,0.000107593,0.000008680218,0.0001643585,0.00007596635],"genre_scores_gemma":[0.9996767,0.00004457607,0.0001176272,0.00004439905,0.00002627784,0.00001368931,0.00001697114,0.000001361875,0.00005841703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5365826,"threshold_uncertainty_score":0.3587252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0455964346003715,"score_gpt":0.2590337993537101,"score_spread":0.2134373647533386,"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."}}