{"id":"W1904421210","doi":"10.24908/pceea.v0i0.3854","title":"LINE WEAR SENSOR DESIGN","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grind; Comminution; Mill; Process engineering; Mechanical engineering; Automotive engineering; Materials science; Engineering; Metallurgy; Grinding","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003375807,0.0001502091,0.0001412382,0.000246477,0.0001129093,0.00005830266,0.0002401446,0.0001447805,0.00005080583],"category_scores_gemma":[0.0004117005,0.0001470703,0.00006160253,0.0004353865,0.00001039358,0.0001957605,0.00001150896,0.0002263989,0.00002229618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009970044,"about_ca_system_score_gemma":0.0002125526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001938602,"about_ca_topic_score_gemma":0.0006159399,"domain_scores_codex":[0.9991233,0.000003790035,0.000238296,0.0001284207,0.0001959237,0.0003102161],"domain_scores_gemma":[0.9993334,0.00002484689,0.0001233984,0.00008066585,0.0002568718,0.0001807653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002976732,0.0004222181,0.1619529,0.004212397,0.001297193,0.000001751298,0.04054682,0.2066905,0.1428007,0.02930903,0.3979627,0.01477399],"study_design_scores_gemma":[0.001534728,0.0001766113,0.2278002,0.002023456,0.0005484509,0.00005873771,0.002897779,0.3646168,0.2791321,0.003409065,0.1141148,0.003687219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9206629,0.0006220447,0.001576132,0.001961167,0.006926551,0.001023206,0.00004210878,0.001153807,0.06603207],"genre_scores_gemma":[0.9896728,0.00001174978,0.007254392,0.00007916272,0.0002064178,0.00002796293,0.000002426366,0.00004858325,0.002696437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2838478,"threshold_uncertainty_score":0.5997353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725457309955671,"score_gpt":0.185189974601533,"score_spread":0.1679354015019763,"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."}}