{"id":"W2913007849","doi":"10.1007/978-3-030-05864-7_84","title":"Development of a Mathematical Model to Follow Alumina Injection","year":2019,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Rio Tinto (Canada); National Research Council Canada; Université du Québec à Chicoutimi","funders":"","keywords":"Breakup; Discrete element method; Particle (ecology); Aggregate (composite); Angle of repose; Mechanics; Aluminium; Reduction (mathematics); Kinematics; Materials science; Surface (topology); Classical mechanics; Computer science; Nanotechnology; Simulation; Mathematics; Physics; Composite material; Geometry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000612785,0.0006898386,0.0009711304,0.000667623,0.0008883817,0.001436598,0.002088705,0.00234003,0.008652759],"category_scores_gemma":[0.001821468,0.0006641165,0.001306163,0.0005575247,0.0009739932,0.002126833,0.001243934,0.001938421,0.001778563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383525,"about_ca_system_score_gemma":0.001671687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198411,"about_ca_topic_score_gemma":0.008050305,"domain_scores_codex":[0.9998247,0.00003665878,0.000009907083,0.00003842874,0.00005896012,0.00003136672],"domain_scores_gemma":[0.9995383,0.000207794,0.00005045828,0.00002999034,0.0001467453,0.00002675299],"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":[0.00002312343,0.00003805943,0.000247472,0.00009379962,0.00001515623,0.0001326826,0.00007024482,0.8527914,0.002181342,0.1356182,0.001947419,0.006841127],"study_design_scores_gemma":[0.00000384091,0.000005875479,0.00002626263,0.000005949439,0.000003859055,0.00001638237,0.000005938024,0.9889585,0.000273606,0.00942514,0.001269153,0.00000548735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006197869,0.0004908663,0.9509584,0.0007042516,0.0002597591,0.00008772024,0.0002324496,0.0002732963,0.04079549],"genre_scores_gemma":[0.646629,0.001548096,0.219995,0.0007992805,0.0002837918,0.0007431128,0.0005308618,0.0007139835,0.1287568],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01198411,"threshold_uncertainty_score":0.02894634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02880888781247102,"score_gpt":0.2309523406639159,"score_spread":0.2021434528514449,"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."}}