{"id":"W2799688089","doi":"10.1139/tcsme-2014-0009","title":"DYNAMICS OF A SORTING PROCESS WITH A STREAM OF DISCRETE IMPACT LOADS","year":2014,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Belt Conveyor Systems Engineering","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sorting; Process (computing); Fence (mathematics); Nonlinear system; Finite element method; Computer science; Mechanics; Discrete element method; Object (grammar); Structural engineering; Control theory (sociology); Engineering; Physics; Artificial intelligence; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002190348,0.0004813943,0.0006421874,0.0006490345,0.0009186863,0.001159121,0.0007791403,0.001556236,0.003970016],"category_scores_gemma":[0.0009774854,0.0002964451,0.0004088507,0.0005718068,0.001457252,0.0008825815,0.00129825,0.0007730869,0.0004176536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000777462,"about_ca_system_score_gemma":0.0009488857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01398844,"about_ca_topic_score_gemma":0.004501496,"domain_scores_codex":[0.9998243,0.00002063517,0.00000765773,0.00003298778,0.00006523002,0.00004928354],"domain_scores_gemma":[0.9996675,0.0001018768,0.00006177165,0.00001323104,0.00006462276,0.00009106243],"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":[0.0004148372,0.0002985226,0.00770847,0.000110882,0.00005153516,0.002451448,0.0007937436,0.9147543,0.03893333,0.02037562,0.001154266,0.01295314],"study_design_scores_gemma":[0.0000166162,0.00009662646,0.001711893,0.000005545873,0.00000624977,0.00007444544,0.0001502379,0.9951439,0.001048856,0.001274927,0.0004493558,0.00002133412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8755567,0.0002352813,0.1021644,0.0005894502,0.00009449822,0.0001482232,0.0002342141,0.0003300338,0.02064716],"genre_scores_gemma":[0.9872853,0.000198785,0.004048227,0.00004576256,0.00002087826,0.00005401226,0.0001157291,0.00002819702,0.008203171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01398844,"threshold_uncertainty_score":0.02781403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004605013264046591,"score_gpt":0.19654605784068,"score_spread":0.1919410445766334,"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."}}