{"id":"W3126672137","doi":"10.1002/cjce.24058","title":"Gravity mass powder flow through conical hoppers ‐ Part II: A mathematical model predicting the axial and radial profiles of normal stresses from flow velocity measurements","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pfizer (Canada); Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Pfizer Canada","keywords":"Conical surface; Mechanics; Flow (mathematics); Cohesion (chemistry); Physics; Classical mechanics; Mathematics; Mathematical analysis; Geometry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003870955,0.0003722115,0.0005340167,0.0005623073,0.0004146052,0.0008512115,0.0008891289,0.0009979849,0.0005469793],"category_scores_gemma":[0.0006502415,0.0003146485,0.0005997968,0.0004292066,0.0009500277,0.0006236237,0.0003160718,0.0004194005,0.0001523752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239893,"about_ca_system_score_gemma":0.001580653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01328451,"about_ca_topic_score_gemma":0.005481518,"domain_scores_codex":[0.999887,0.00001255917,0.00000859586,0.00003209954,0.00003898986,0.00002074032],"domain_scores_gemma":[0.9998049,0.0001045225,0.00002870143,0.00001432361,0.00003778472,0.000009752198],"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":[0.00002505928,0.00004012922,0.001273608,0.00004161389,0.000008078699,0.00009401664,0.00005044129,0.9747567,0.01107468,0.008025767,0.0001474115,0.004462488],"study_design_scores_gemma":[0.000002054264,0.000006280301,0.0002590169,0.000002008507,0.000001945893,0.000009102497,0.0000045311,0.998292,0.001032706,0.0003177198,0.00006962949,0.000002990687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4009699,0.0005795571,0.5895506,0.0003235945,0.00006134987,0.0002102832,0.0004711699,0.0004402184,0.007393376],"genre_scores_gemma":[0.9852235,0.0003979878,0.01062923,0.00002779064,0.00001243889,0.0001323481,0.0001028637,0.00002373249,0.003450076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01328451,"threshold_uncertainty_score":0.02641433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853627022652772,"score_gpt":0.1955642321886938,"score_spread":0.1770279619621661,"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."}}