{"id":"W2154153546","doi":"10.1002/aic.14644","title":"A multiple radioactive particle tracking technique to investigate particulate flows","year":2014,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tracking (education); Particle (ecology); TRACER; Range (aeronautics); Reliability (semiconductor); Trajectory; Particle tracking velocimetry; Particle dynamics; Mechanics; Physics; Nuclear engineering; Chemistry; Nuclear physics; Engineering; Aerospace engineering; Particle image velocimetry; Thermodynamics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006032352,0.0001665244,0.0002038162,0.00007757837,0.0001349969,0.0001032619,0.0001597457,0.00008238211,0.00003816391],"category_scores_gemma":[0.0001956173,0.0001494827,0.00009787222,0.0002273234,0.00002167956,0.0002889853,0.00002285286,0.0003932102,0.0001234478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006724196,"about_ca_system_score_gemma":0.00001523664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005862973,"about_ca_topic_score_gemma":0.00001313545,"domain_scores_codex":[0.9988958,0.00008340215,0.0002899169,0.0001292942,0.0001822402,0.0004193029],"domain_scores_gemma":[0.9992649,0.00006585786,0.00003043989,0.0001907171,0.00005913282,0.0003889321],"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":[0.00001775572,0.00002166022,0.003174153,0.00001323892,0.00005546682,0.00002313731,0.0007851301,0.0129805,0.9721406,0.0001046302,0.0009310558,0.009752686],"study_design_scores_gemma":[0.0007372223,0.00008884833,0.002116879,0.00006910583,0.00004154089,0.0002393256,0.00004122154,0.1634952,0.8194696,0.0009729713,0.01242372,0.0003043812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7594075,0.0001035223,0.2394086,0.0002352756,0.0002584984,0.0001553955,0.000001370733,0.0001894483,0.000240492],"genre_scores_gemma":[0.9860781,0.00001750026,0.01331066,0.0002330569,0.0002704538,0.00003131715,8.412529e-7,0.00004325229,0.00001485802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2266706,"threshold_uncertainty_score":0.6095728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217910603338651,"score_gpt":0.2125286520804024,"score_spread":0.2003495460470159,"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."}}