{"id":"W4391270913","doi":"10.1016/j.mineng.2024.108582","title":"Technological and economic considerations for the application of combined microwave assisted comminution and multi-sensor ore sorting","year":2024,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Hudbay Minerals (Canada)","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Comminution; Sorting; Process engineering; Energy consumption; Process (computing); Engineering; Computer science; Materials science; Electrical engineering; 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":[0.0001540525,0.0001172992,0.0001436375,0.00008468528,0.00007580525,0.00007170568,0.00003577458,0.000076877,0.000001609714],"category_scores_gemma":[0.00008260694,0.00009449785,0.0000252654,0.00007512928,0.00005407564,0.00006817944,0.00001901766,0.0001130776,7.432923e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002537712,"about_ca_system_score_gemma":0.000006067321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007848787,"about_ca_topic_score_gemma":0.00001185771,"domain_scores_codex":[0.9994791,0.000004046834,0.0002222765,0.0001373882,0.00002881071,0.0001284226],"domain_scores_gemma":[0.9995034,0.000342995,0.00002206241,0.00008806637,0.00001799828,0.00002543412],"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":[0.000002381548,0.000005724579,0.0001411715,0.0004955442,0.00005919392,0.000001075463,0.0001972942,0.09343676,0.8870568,0.009251401,0.0001942024,0.009158491],"study_design_scores_gemma":[0.0001854854,0.00001219053,0.0003311749,0.00007231473,0.00003073903,0.00002872766,0.00005142563,0.9843215,0.01394232,0.0001111397,0.0008001773,0.0001127471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6175435,0.002526191,0.3787706,0.0002740881,0.0001195213,0.0003011332,0.00002066137,0.0004021469,0.0000421553],"genre_scores_gemma":[0.9807581,0.0000495315,0.01898627,0.000005851576,0.00004472638,0.00007777647,0.000009079096,0.00002265896,0.00004606016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8908848,"threshold_uncertainty_score":0.385351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706555077812711,"score_gpt":0.2464359424325416,"score_spread":0.2193703916544145,"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."}}