{"id":"W1990025620","doi":"10.1016/j.mineng.2004.06.020","title":"Liner wear and performance investigation of primary gyratory crushers","year":2004,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crusher; Context (archaeology); Comminution; Engineering; Mining engineering; Work (physics); Breakage; Metallurgy; Mechanical engineering; Geology; Materials science; Composite material","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":[0.00009713315,0.0001470824,0.0001741188,0.0001270823,0.00002523598,0.00001769153,0.00006246945,0.00006671767,0.00000359473],"category_scores_gemma":[0.00001961333,0.0001503123,0.00002085048,0.0002031989,0.00002556361,0.0001603797,0.00001693684,0.0001351859,0.000003399915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004829365,"about_ca_system_score_gemma":0.00001641364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008400018,"about_ca_topic_score_gemma":9.413927e-7,"domain_scores_codex":[0.9993851,0.000002779223,0.0002091738,0.0001150477,0.0001041511,0.0001837677],"domain_scores_gemma":[0.9997553,0.00001421392,0.0000313741,0.0001009745,0.00002398642,0.00007413367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001514883,0.000002041454,0.001375354,0.0004508443,0.00001131962,0.000001195468,0.0002869756,0.5627678,0.4343883,0.00006348951,0.00006860112,0.0005825434],"study_design_scores_gemma":[0.002082763,0.0001810813,0.06018342,0.001670562,0.00006809816,0.00006308876,0.0000669373,0.3955126,0.5360869,0.0001000041,0.002608934,0.001375603],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969269,0.0009828025,0.0008351794,0.00002444183,0.0001444877,0.00005175994,0.000001868718,0.000221462,0.0008110914],"genre_scores_gemma":[0.9943338,0.00008375889,0.00528481,0.00002341801,0.0001071286,0.000007833659,0.000005900426,0.00003566182,0.0001176651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1672552,"threshold_uncertainty_score":0.6129556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008954712372849519,"score_gpt":0.167836172417442,"score_spread":0.1588814600445925,"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."}}