{"id":"W2347173672","doi":"10.3390/ma9050334","title":"Discrete Element Method Modeling of the Rheological Properties of Coke/Pitch Mixtures","year":2016,"lang":"en","type":"article","venue":"Materials","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Alcoa (Canada); Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Alcoa","keywords":"Coke; Materials science; Rheology; Viscoelasticity; Rheometer; Composite material; Discrete element method; Petroleum coke; Mechanics; Metallurgy","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":[0.0003084687,0.00009140147,0.0002269261,0.00001890311,0.0000183465,0.000007573228,0.0001598254,0.00005422348,0.0001440699],"category_scores_gemma":[0.00003470301,0.00003871243,0.00005292138,0.00003203561,0.00003771461,0.00003177204,0.00006059873,0.00001948456,0.000004001755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001028226,"about_ca_system_score_gemma":0.000005453502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002032203,"about_ca_topic_score_gemma":9.918641e-7,"domain_scores_codex":[0.9992943,0.00008336657,0.0002938099,0.00007933877,0.0001169321,0.000132235],"domain_scores_gemma":[0.9997151,0.00001623884,0.00003196378,0.000194878,0.00002789873,0.00001392641],"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":[0.00002163691,0.000005743023,0.00004406539,0.00008964455,0.00002444389,1.877539e-7,0.00009508554,0.0005286747,0.9981857,0.0006859759,0.00004290721,0.0002759527],"study_design_scores_gemma":[0.0002058886,0.0000157971,0.00005044884,0.0001019187,0.00001712104,0.000001146442,0.00001156269,0.002266155,0.9967405,0.0004185706,0.0001055039,0.00006545005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955982,0.0002370508,0.04304996,0.00008772966,0.0003038561,0.0001455606,0.00003427811,0.00003889336,0.0001206147],"genre_scores_gemma":[0.9980989,0.00003755164,0.001753469,0.00001079372,0.00003783641,0.00001663375,7.752313e-7,0.00001247577,0.00003159998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04211681,"threshold_uncertainty_score":0.1578647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084943844963719,"score_gpt":0.2285127516107795,"score_spread":0.2076633131611423,"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."}}