{"id":"W2945951319","doi":"10.1007/s00231-019-02626-w","title":"Mathematical particle model for microwave drying of leaves","year":2019,"lang":"en","type":"article","venue":"Heat and Mass Transfer","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Arrhenius equation; Work (physics); Thermal diffusivity; Thermodynamics; Particle (ecology); Materials science; Activation energy; Kinetic energy; Microwave; Diffusion equation; Mechanics; Physics; Classical mechanics; Chemistry; Physical chemistry","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":[0.00009177816,0.0000599376,0.0001224787,0.000002981257,0.00004171716,0.00001229763,0.00003859626,0.0000434703,0.00002759887],"category_scores_gemma":[0.000003575381,0.00002331737,0.00005608447,0.00002812323,0.00002001402,0.00004226299,0.000004928392,0.00003011205,0.000003852152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002116167,"about_ca_system_score_gemma":0.000002462456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007973017,"about_ca_topic_score_gemma":0.00001457102,"domain_scores_codex":[0.9995581,0.000006843759,0.0001156993,0.0001216478,0.00005531351,0.0001423859],"domain_scores_gemma":[0.9998422,0.00006929505,0.000003492652,0.00002453911,0.00002039318,0.00004014042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003427857,0.00002150562,0.0004432686,0.00004642369,0.000005244085,6.509995e-8,0.0002374585,0.000189361,0.9908478,0.003911753,0.000007707825,0.004255162],"study_design_scores_gemma":[0.0005889392,0.0003454365,0.0005798083,0.00008261342,0.00003474616,0.000002541286,0.000458524,0.5252277,0.4591702,0.01303214,0.000263145,0.0002142969],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883217,0.0001259644,0.01066934,0.0003374366,0.00001867618,0.0001653863,0.00001150934,0.00001726353,0.0003327049],"genre_scores_gemma":[0.9987449,0.00002200824,0.0008397622,0.00006920117,0.00001975356,0.000008945384,0.0000033519,8.466836e-7,0.000291209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5316776,"threshold_uncertainty_score":0.09508547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03790870442556916,"score_gpt":0.2284767359825397,"score_spread":0.1905680315569705,"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."}}