{"id":"W7056247942","doi":"","title":"Dry rolling-sliding wear resistance of high density PM steel parts","year":2012,"lang":"en","type":"article","venue":"NPARC","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wear resistance; High strength steel; High resistance; Adhesive wear; Dry friction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005495955,0.0003336434,0.0004526791,0.0007531106,0.0002437661,0.0003478698,0.0004076242,0.0004225816,0.001725523],"category_scores_gemma":[0.001433351,0.0002533908,0.0002690776,0.0003776469,0.0003303108,0.0004293759,0.0002328662,0.0003111084,0.0003719472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002002338,"about_ca_system_score_gemma":0.0001033675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007659895,"about_ca_topic_score_gemma":0.001490127,"domain_scores_codex":[0.9993882,0.00007788521,0.0000404274,0.00007976148,0.0003346246,0.00007904769],"domain_scores_gemma":[0.9988952,0.0003915335,0.0001925612,0.0001504975,0.0003268099,0.00004332103],"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":[0.0008845456,0.00003706167,0.00415787,0.0002770474,0.00002792644,0.0002242304,0.0003361423,0.001396945,0.9710073,0.00007611426,0.0002132384,0.02136157],"study_design_scores_gemma":[0.00001258229,0.001185881,0.03312551,0.00001253725,0.00003268573,0.000398963,0.0002065618,0.003289943,0.960318,0.00004487751,0.001358305,0.00001411922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949025,0.001372421,0.002463924,0.00002864324,0.00001951534,0.00001350371,0.00007463578,0.00009610203,0.001028764],"genre_scores_gemma":[0.9981963,0.0001582176,0.0006727368,0.000006951642,0.000003812013,0.000003309244,0.00006236284,0.00001527732,0.0008809932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001725523,"threshold_uncertainty_score":0.005772471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107554892040257,"score_gpt":0.2062125487945719,"score_spread":0.1954570595905462,"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."}}