{"id":"W2276064729","doi":"10.1016/j.jfoodeng.2016.02.009","title":"A novel approach for quantification of particle motion and particle mixing during agitation thermal processing","year":2016,"lang":"en","type":"article","venue":"Journal of Food Engineering","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Particle (ecology); Mixing (physics); Reciprocating motion; Mechanics; Magnetosphere particle motion; Orientation (vector space); Work (physics); Viscosity; Particle size; Heat transfer; Chemistry; Materials science; Thermodynamics; Physics; Geometry; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003963926,0.0005605048,0.0005605253,0.00084982,0.0004301382,0.0005803353,0.0005998943,0.0008971154,0.0006053777],"category_scores_gemma":[0.0003897946,0.0004665066,0.0002914334,0.0004837342,0.0004413707,0.000655205,0.0006300026,0.0009967957,0.0003029457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005150929,"about_ca_system_score_gemma":0.0006192526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001272877,"about_ca_topic_score_gemma":0.003593826,"domain_scores_codex":[0.9995471,0.00004988832,0.00001826884,0.000133387,0.0002111926,0.0000402055],"domain_scores_gemma":[0.9997163,0.00009102571,0.00005169082,0.00002801965,0.00008480695,0.00002805607],"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":[0.00004682687,0.00003233355,0.0003943312,0.00005835418,0.000009236424,0.00002072742,0.00002435635,0.0001192912,0.9882875,0.0001494354,0.0000695522,0.01078824],"study_design_scores_gemma":[0.00002646669,0.0002591386,0.003977202,0.00001116747,0.00005529859,0.0002048134,0.00004722515,0.02532959,0.9666954,0.00015855,0.003189614,0.00004543652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3415297,0.003796422,0.6485351,0.0002886938,0.0004082696,0.0003906075,0.0004437761,0.001000484,0.003606995],"genre_scores_gemma":[0.5487084,0.00202709,0.4424653,0.000227348,0.0001409973,0.0004778056,0.0003112533,0.00009007517,0.005551789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001272877,"threshold_uncertainty_score":0.003737271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01828375020296538,"score_gpt":0.2048339398193327,"score_spread":0.1865501896163673,"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."}}