{"id":"W651449872","doi":"","title":"Mechanical and Material Characterization of Mining Wheels for Enhanced Safety","year":2014,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Mechanical Failure Analysis and Simulation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Workplace Safety and Insurance Board; Government of Ontario","keywords":"Characterization (materials science); Forensic engineering; Business; Engineering; Risk analysis (engineering); Computer science; Materials science; Nanotechnology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004751537,0.0001206712,0.000336477,0.0001117981,0.0001150329,0.00001320099,0.0001492082,0.0001730959,0.0002052714],"category_scores_gemma":[0.00007045459,0.000145417,0.0001074462,0.0001378585,0.00003291195,0.0003069488,0.00006028597,0.00007703577,0.000003981884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003073878,"about_ca_system_score_gemma":0.000008006548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003452042,"about_ca_topic_score_gemma":0.00002282888,"domain_scores_codex":[0.9991817,0.0000664523,0.0002275855,0.0001999978,0.0001629433,0.0001613122],"domain_scores_gemma":[0.999411,0.0001041315,0.0001180883,0.0001844979,0.00009762685,0.00008468464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001885511,0.00001503471,0.0003609857,0.0001049,0.00005726286,2.032551e-7,0.0002496337,0.0002727229,0.9942424,0.001203447,0.000005182564,0.00329973],"study_design_scores_gemma":[0.003028989,0.0003460599,0.06204434,0.000187093,0.0003398376,0.000002017807,0.000283166,0.0748508,0.8542758,0.001132774,0.002957918,0.0005511979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9227751,0.000004168035,0.07665621,0.00006169653,0.00009813923,0.0001449555,0.00005465949,0.00004247372,0.0001625988],"genre_scores_gemma":[0.9964026,0.00001640475,0.003272282,0.00001202076,0.00005013685,3.968498e-7,0.000115455,0.00001615111,0.0001145261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1399665,"threshold_uncertainty_score":0.5929933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00922556252946677,"score_gpt":0.1893422445962106,"score_spread":0.1801166820667438,"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."}}