{"id":"W4385766390","doi":"10.1002/aic.18209","title":"Interpolation of probability‐driven model to predict hydrodynamic forces and torques in particle‐laden flows","year":2023,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada; Banting Research Foundation","keywords":"Interpolation (computer graphics); Closure (psychology); Torque; Reynolds number; Mechanics; Particle (ecology); Computation; Mathematics; Euler's formula; Work (physics); Classical mechanics; Statistical physics; Applied mathematics; Physics; Mathematical analysis; Algorithm; Geology; Motion (physics); Turbulence; Thermodynamics","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":[0.0002874316,0.00007895769,0.0001370111,0.000124401,0.00002402946,0.0000235096,0.00008200949,0.00004885074,0.000007580142],"category_scores_gemma":[0.00004332357,0.00007178544,0.00003496594,0.0002056769,0.00001311417,0.0001755334,0.00003173703,0.0001419314,0.000006098052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003832401,"about_ca_system_score_gemma":0.0000128267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008134096,"about_ca_topic_score_gemma":0.00009033755,"domain_scores_codex":[0.9993382,0.00002372254,0.0002651807,0.00008012422,0.0001205158,0.0001723331],"domain_scores_gemma":[0.9997633,0.0000254113,0.00002014537,0.0000874554,0.00002512977,0.00007862771],"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":[0.0000464507,0.00002538973,0.04777953,0.0001104449,0.0000462342,0.000009078322,0.004715498,0.4952071,0.447071,0.000153041,0.0004650733,0.004371109],"study_design_scores_gemma":[0.0002704211,0.00004921074,0.008338111,0.00006403368,0.00001019142,0.000009193385,0.00006474817,0.9859598,0.003011722,0.002129502,0.00002248368,0.00007052561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905918,0.0001058318,0.008828287,0.0001018678,0.00008448867,0.000118927,0.000004429437,0.00006836699,0.00009599551],"genre_scores_gemma":[0.9975679,0.00008156215,0.002262844,0.000009808778,0.00003887127,0.000007418795,0.000002034655,0.00001405176,0.00001549742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4907527,"threshold_uncertainty_score":0.2927325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358443489688995,"score_gpt":0.2305121106337715,"score_spread":0.2169276757368815,"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."}}