{"id":"W4415119301","doi":"10.3390/min15101065","title":"Optimization of High-Pressure Grinding Roll (HPGR) Performance in an Industrial-Scale HPGR/Tower Mill Comminution Circuit","year":2025,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Key Research and Development Program of Liaoning Province; National Natural Science Foundation of China","keywords":"Comminution; Grinding; Mill; Crusher; Electronic circuit; Process (computing); Energy consumption","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":[0.0002892744,0.0001789788,0.0003149436,0.0003435336,0.00006437245,0.00004503762,0.0001875774,0.0002046951,0.0000854338],"category_scores_gemma":[0.00003303045,0.0001854231,0.00003589108,0.0005662849,0.00002731506,0.0003904049,0.00003287726,0.0002522355,0.000003074892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006628379,"about_ca_system_score_gemma":0.00002244708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008529503,"about_ca_topic_score_gemma":0.00006516569,"domain_scores_codex":[0.9989232,0.00004034619,0.0004203769,0.0002077228,0.0001429014,0.0002654345],"domain_scores_gemma":[0.9995627,0.00003450388,0.00006835445,0.0002318895,0.00005461274,0.00004790319],"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":[0.00001488493,0.00003744203,0.0192079,0.0001712121,0.00001929824,0.00000106472,0.0003211393,0.9532644,0.02373021,0.00009922159,0.001392365,0.001740839],"study_design_scores_gemma":[0.003319436,0.0001487959,0.01366612,0.001499297,0.0001223983,0.000005189487,0.0002026014,0.9172457,0.05718581,0.0002919131,0.00550327,0.0008094697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884461,0.0003596155,0.002283704,0.0000463391,0.0004512885,0.0001714609,0.00001455419,0.0001258882,0.008101091],"genre_scores_gemma":[0.9967719,0.00003613847,0.0007138526,0.00002654376,0.0001185514,0.00002020392,0.00006583709,0.00002219262,0.002224771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03601873,"threshold_uncertainty_score":0.7561336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02151871599162302,"score_gpt":0.230017002236903,"score_spread":0.20849828624528,"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."}}