{"id":"W2107241459","doi":"10.1016/s0043-1648(02)00162-x","title":"Exploring the application of the Kelvin method in studying the history prior to wear and the onset of wear","year":2002,"lang":"en","type":"article","venue":"Wear","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Materials science; Tribology; Forensic engineering; Metallurgy; Mechanical engineering; Engineering","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":[0.001147375,0.00008850088,0.0001541994,0.00003260313,0.00006607563,0.000007100007,0.0003318801,0.00002492568,0.00002240634],"category_scores_gemma":[0.00009951854,0.00004011854,0.00005253577,0.0001968306,0.00005540437,0.00004739642,0.0001065759,0.0002076729,0.00001131987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004124947,"about_ca_system_score_gemma":0.000005579665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001191942,"about_ca_topic_score_gemma":0.00004391944,"domain_scores_codex":[0.9991923,0.0001815831,0.0002178275,0.0001044848,0.0001853206,0.0001184577],"domain_scores_gemma":[0.999265,0.000198474,0.00005227082,0.0004521717,0.00001347231,0.00001858939],"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":[0.0001983522,0.0002811531,0.001008441,0.0007237332,0.000459227,0.000003335555,0.3334027,0.01482966,0.3657332,0.09744184,0.005595289,0.1803231],"study_design_scores_gemma":[0.003247847,0.0001652308,0.01808483,0.0004255692,0.0003136891,0.00003224316,0.02159439,0.5223393,0.1447043,0.00601887,0.2822922,0.0007814799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900898,0.001615874,0.004353799,0.001039035,0.0008171144,0.0009501815,0.000004726115,0.00004040274,0.001089063],"genre_scores_gemma":[0.9982597,0.0002007436,0.0009378665,0.0000859287,0.00003467204,0.0001043842,1.326915e-7,0.00001689442,0.0003597346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5075097,"threshold_uncertainty_score":0.1635986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07088512382536655,"score_gpt":0.2220647562550399,"score_spread":0.1511796324296734,"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."}}