{"id":"W4410796907","doi":"10.1016/j.jspr.2025.102701","title":"Energy and moisture source-term based distributive (luikov) parameter model to simulate rapeseed hot-air drying","year":2025,"lang":"en","type":"article","venue":"Journal of Stored Products Research","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lethbridge College; Agriculture and Agri-Food Canada","funders":"","keywords":"Rapeseed; Environmental science; Term (time); Moisture; Distributive property; Water content; Process engineering; Mathematics; Meteorology; Agronomy; Engineering; Geotechnical engineering; Biology; Physics","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":[0.0003280744,0.0005001854,0.0007504137,0.0003493019,0.0005803378,0.0008181219,0.001294747,0.001740945,0.001784738],"category_scores_gemma":[0.0009386077,0.0004051103,0.0007219177,0.0003955473,0.0005447335,0.0008103522,0.0006220574,0.0008912112,0.0002170327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072221,"about_ca_system_score_gemma":0.0008986069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03483135,"about_ca_topic_score_gemma":0.02295098,"domain_scores_codex":[0.9998918,0.00003245024,0.000006216676,0.00002616585,0.00002119753,0.00002223595],"domain_scores_gemma":[0.9996729,0.0001674907,0.0000405126,0.00001995787,0.00007794463,0.00002123279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001870288,0.00002110562,0.0003582926,0.00001323037,0.000008374343,0.00003393667,0.00001652615,0.9972252,0.0009389886,0.0006971549,0.00008018125,0.0005884427],"study_design_scores_gemma":[0.000004214256,0.000006351376,0.0001255474,0.000001071088,0.000002797577,0.000002984829,0.000005678078,0.9995154,0.0001651542,0.00009824036,0.00007029524,0.000002217599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.811749,0.0006681443,0.160474,0.0005600891,0.0001409165,0.0001251779,0.0007693319,0.0005243144,0.02498918],"genre_scores_gemma":[0.9921151,0.00008536161,0.00292587,0.00003255507,0.000007261787,0.00004995389,0.0001144848,0.0000452235,0.004624262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03483135,"threshold_uncertainty_score":0.0692572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06732315731635036,"score_gpt":0.3244966288895405,"score_spread":0.2571734715731901,"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."}}