{"id":"W1976274307","doi":"10.1080/00986440903574891","title":"A COMPARISON OF PARTICLE WEAR IN PNEUMATIC TRANSPORT","year":2010,"lang":"en","type":"article","venue":"Chemical Engineering Communications","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Breakage; Particle (ecology); Materials science; Sodium nitrate; Flow (mathematics); Phase (matter); Pressure drop; Brittleness; Potassium nitrate; Mechanics; Particle size; Composite material; Chemistry; Potassium; Chemical engineering; Metallurgy; Engineering; 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":[0.00008297679,0.00008895144,0.0001910592,0.00004962265,0.00001249555,0.000004203176,0.0004130038,0.00007797308,0.00001882006],"category_scores_gemma":[0.00003852764,0.0001003581,0.00004838707,0.0002382943,0.00004896613,0.00004898674,0.00003136336,0.0004114342,0.00000988665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001409719,"about_ca_system_score_gemma":0.000006676175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006679928,"about_ca_topic_score_gemma":0.000009849598,"domain_scores_codex":[0.9994032,0.000004472765,0.0003088713,0.00006223855,0.00007172459,0.0001494787],"domain_scores_gemma":[0.9991201,0.00008791802,0.00001313949,0.0007057306,0.00001490115,0.00005828252],"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":[8.447348e-7,0.00007110363,0.003139205,0.00005597946,0.000008224862,1.924809e-7,0.0004133092,0.002411278,0.9907062,0.002843958,0.00001051564,0.0003391588],"study_design_scores_gemma":[0.000195229,0.00000348592,0.001544719,0.0000312191,0.000008821669,0.000001448632,0.00002010239,0.5450291,0.4524539,0.00002768308,0.000579702,0.0001045502],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957144,0.0002933515,0.003128249,0.00006402836,0.00006975048,0.00007818384,0.00000390318,0.0001805716,0.0004675777],"genre_scores_gemma":[0.9907646,0.00002159459,0.009134613,0.000002545478,0.000008590005,0.00002980507,0.00001510586,0.00002112347,0.000001992398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5426179,"threshold_uncertainty_score":0.4092484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016671970840869,"score_gpt":0.2613138290960423,"score_spread":0.2446418582551733,"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."}}