{"id":"W2049151224","doi":"10.1002/adem.200400207","title":"Improvement of Corrosion‐Wear Resistance of Ti‐6Al‐4V Alloy by Plasma Mo‐N Surface Modification","year":2005,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Materials science; Corrosion; Alloy; Metallurgy; Biocompatibility; Surface modification; Electrochemical noise; Electrochemistry; Titanium alloy; Chemical engineering; Electrode","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009822904,0.0002268447,0.0002266994,0.0001858226,0.0001259515,0.0002010327,0.0003220755,0.0002844076,0.0004279895],"category_scores_gemma":[0.0002225008,0.0001632762,0.0002157086,0.00008806519,0.0001636931,0.0001312189,0.000145732,0.0001856423,0.0001168297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001738751,"about_ca_system_score_gemma":0.00008645891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009958323,"about_ca_topic_score_gemma":0.001840868,"domain_scores_codex":[0.9998857,0.00001390964,0.000006334283,0.00001612261,0.00005369296,0.00002428494],"domain_scores_gemma":[0.9999243,0.00001395344,0.00002079719,0.00001091311,0.00002240401,0.000007636229],"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":[0.00003303486,0.000004913327,0.000150027,0.00001834944,0.000003190474,0.00002164341,0.00001338507,0.00006476892,0.9985374,0.00001524077,0.00000754994,0.001130384],"study_design_scores_gemma":[0.000002204631,0.00008876569,0.00167668,0.000001041346,0.000005030132,0.00005579758,0.00001021268,0.0007259282,0.99696,0.000008152868,0.0004637439,0.000002377377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977531,0.0005959025,0.001118694,0.00001668838,0.0000134769,0.000005186,0.00001415044,0.00002173451,0.0004611909],"genre_scores_gemma":[0.9964576,0.0002982412,0.001440104,0.000007301785,0.000004140443,0.000005392904,0.00004060865,0.00001014554,0.001736379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009958323,"threshold_uncertainty_score":0.001980066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008049569787837944,"score_gpt":0.2328025148134104,"score_spread":0.2247529450255724,"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."}}