{"id":"W2800307422","doi":"10.1103/physrevlett.120.198003","title":"Kinematic Model of Transient Shape-Induced Anisotropy in Dense Granular Flow","year":2018,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Anisotropy; Particle (ecology); Kinematics; Mechanics; Oblate spheroid; Transient (computer programming); Flow (mathematics); Physics; Steady state (chemistry); Classical mechanics; Statistical physics; Optics; Computer science; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001231639,0.0001948398,0.0005237616,0.00005637979,0.00001710951,0.000006310464,0.0001726567,0.00001618523,0.00002133036],"category_scores_gemma":[0.00001845351,0.0001707477,0.0002043858,0.0002718115,0.00005146553,0.00007954526,0.00001324717,0.0001441356,0.0000503845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003207415,"about_ca_system_score_gemma":0.000007628367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003854904,"about_ca_topic_score_gemma":0.000002424881,"domain_scores_codex":[0.9989496,0.00004143006,0.0003411704,0.0001755984,0.0002248398,0.0002673999],"domain_scores_gemma":[0.9995493,0.00002884755,0.00002729548,0.0002955973,0.00002643204,0.00007251235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000642313,0.00007313736,0.00001061255,0.002242154,0.00002018129,0.000006549095,0.0003056742,0.004406098,0.9891771,0.0001565714,0.001082849,0.00251266],"study_design_scores_gemma":[0.00038743,0.00003914462,0.00007818173,0.001221258,0.00007850892,0.000001695222,0.000001481851,0.9798273,0.01779199,0.0001653677,0.0001992414,0.0002083589],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814388,0.001642625,0.01575184,0.0005749857,0.00007965968,0.0003564611,0.000008997792,0.00007119615,0.00007550147],"genre_scores_gemma":[0.9951768,0.0008993706,0.002106735,0.001655764,0.00008473537,0.00003526345,0.000006890398,0.00003405334,3.715644e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9754212,"threshold_uncertainty_score":0.6962889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936478505081293,"score_gpt":0.2533988663138373,"score_spread":0.2340340812630244,"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."}}