{"id":"W6996007802","doi":"","title":"RECIPROCATING WEAR RESPONSE OF Ti(C,N)-Ni3Al CERMETS","year":2012,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reciprocating motion; Cermet; Tungsten carbide; Tungsten; Titanium; Carbide; Cobalt; Yield (engineering)","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":[0.0003131181,0.0002294572,0.0003595635,0.0003769606,0.0001810958,0.0002526148,0.0005228643,0.0003281416,0.001944304],"category_scores_gemma":[0.0007870803,0.0002130896,0.0002451955,0.0002948199,0.0002141851,0.0002533539,0.0002103874,0.0002743469,0.0005003609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003277058,"about_ca_system_score_gemma":0.0001581942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009898612,"about_ca_topic_score_gemma":0.002422145,"domain_scores_codex":[0.9994325,0.00002588544,0.00003467011,0.0001347798,0.000298376,0.00007384914],"domain_scores_gemma":[0.9995688,0.00005624842,0.000080349,0.0000733857,0.0001920815,0.00002915581],"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":[0.0002964268,0.00002652447,0.001385407,0.0000821651,0.00001198319,0.0001206921,0.0001536698,0.000351846,0.9907375,0.00008142684,0.0001577613,0.006594657],"study_design_scores_gemma":[0.000007362032,0.0003542936,0.008619841,0.000006631832,0.000009038078,0.0001635669,0.0001239909,0.003236887,0.9848405,0.00001686001,0.00260894,0.00001214005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997166,0.0004524047,0.0008141211,0.00001684911,0.00003004274,0.00001280157,0.0001113829,0.0001020936,0.00129432],"genre_scores_gemma":[0.9953264,0.0001324922,0.0008938496,0.00001066224,0.000003732439,0.00000894102,0.0001902221,0.00002567403,0.003408095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001944304,"threshold_uncertainty_score":0.006504357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004595638627960008,"score_gpt":0.1556640147172006,"score_spread":0.1510683760892406,"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."}}