{"id":"W2019409350","doi":"10.1016/j.powtec.2012.12.001","title":"Development of a laser displacement probe to measure particle impact velocities in vibrationally fluidized granular flows","year":2012,"lang":"en","type":"article","venue":"Powder Technology","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Displacement (psychology); Materials science; Measure (data warehouse); Particle (ecology); Mechanics; SPHERES; Particle velocity; Laser; Flow velocity; Flow (mathematics); Sphere packing; Optics; Acoustics; Composite material; Physics; 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":[0.0008195209,0.0003639929,0.0004775545,0.0004446215,0.0005287306,0.0007493954,0.00137819,0.001185159,0.0008528872],"category_scores_gemma":[0.001277799,0.0005462717,0.0002227574,0.0004141589,0.000915828,0.001222681,0.0008875288,0.0007983639,0.0003151573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008071908,"about_ca_system_score_gemma":0.001144851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000995894,"about_ca_topic_score_gemma":0.001330983,"domain_scores_codex":[0.9994025,0.00006926369,0.00002602506,0.0001464392,0.0003017237,0.00005402581],"domain_scores_gemma":[0.999204,0.0003681554,0.00009283214,0.00009100344,0.000181411,0.00006272471],"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":[0.00007712592,0.00006367244,0.0007796719,0.00006437067,0.000006399432,0.00005546014,0.00007106278,0.0006764539,0.9778638,0.001251273,0.0001426713,0.01894788],"study_design_scores_gemma":[0.00003872138,0.0004365114,0.001378113,0.000006626116,0.00001209972,0.0001582505,0.00004172215,0.02737826,0.9678646,0.000232613,0.002418319,0.00003407537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.484811,0.0009339354,0.5091875,0.000776782,0.0001840327,0.0004661259,0.0002524715,0.001153576,0.002234682],"genre_scores_gemma":[0.6791009,0.0004546526,0.3172864,0.0002213295,0.00004264596,0.0003648882,0.0001495083,0.0000623782,0.002317183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00137819,"threshold_uncertainty_score":0.005856633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321562663576071,"score_gpt":0.234607876663908,"score_spread":0.2213922500281473,"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."}}