{"id":"W4407929826","doi":"10.1016/j.wear.2025.205972","title":"Recreating cobalt – based glaze layers through thermal spraying for extreme environments","year":2025,"lang":"en","type":"article","venue":"Wear","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Glaze; Materials science; Cobalt; Thermal spraying; Metallurgy; Thermal; Composite material; Forensic engineering; Meteorology; Engineering; Coating; Ceramic","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001663375,0.0003153506,0.0002450375,0.0002977478,0.0001662994,0.0004036099,0.0003107364,0.0003159447,0.0008103387],"category_scores_gemma":[0.0002932914,0.0002073973,0.0003310034,0.0001981664,0.0002509247,0.0002216092,0.0002588239,0.0004551215,0.0002905567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002159227,"about_ca_system_score_gemma":0.0002412335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001156829,"about_ca_topic_score_gemma":0.002882378,"domain_scores_codex":[0.9997906,0.000008936889,0.00001152436,0.00003466246,0.0001106983,0.0000434977],"domain_scores_gemma":[0.9998289,0.00001754285,0.00005331337,0.00002152414,0.00005739437,0.00002127273],"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":[0.00001961207,0.00000904811,0.0001650725,0.00008036823,0.000004557028,0.00009001562,0.00002693912,0.0001336448,0.9976963,0.00005254737,0.00004965387,0.001672222],"study_design_scores_gemma":[0.000004785038,0.0001572035,0.001976746,0.000008873909,0.00001193615,0.0001428045,0.00003471921,0.0007034453,0.9944097,0.00001702721,0.002525153,0.000007506544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825953,0.00177998,0.01188163,0.00006174814,0.00007491797,0.00007603515,0.0001969074,0.0003695826,0.002963773],"genre_scores_gemma":[0.9832403,0.001137207,0.01289283,0.00004345785,0.00000798709,0.00003860605,0.0001444578,0.00009957148,0.002395612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001156829,"threshold_uncertainty_score":0.002710819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02685028760671086,"score_gpt":0.2364316360142074,"score_spread":0.2095813484074965,"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."}}