{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009410059,0.0001298637,0.0001242115,0.00004640672,0.0001081035,0.00002388616,0.0001587596,0.0000861557,0.000038532],"category_scores_gemma":[0.00009012433,0.0001297133,0.00005718602,0.00006224969,0.00004111416,0.00005599619,0.00004861741,0.0001344659,0.00002116969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000597887,"about_ca_system_score_gemma":0.00000714239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001260111,"about_ca_topic_score_gemma":0.000001372883,"domain_scores_codex":[0.9993868,0.00001149607,0.0001271659,0.0001658737,0.00006628791,0.0002423877],"domain_scores_gemma":[0.9996014,0.0001418187,0.00002345003,0.0002147948,0.000004349301,0.00001423499],"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":[0.0001468115,0.0001659332,0.012063,0.00116556,0.000787918,0.00002892622,0.001461608,0.1626046,0.4142299,0.01211828,0.01952717,0.3757003],"study_design_scores_gemma":[0.0006530124,0.00003204827,0.004097159,0.0001953294,0.00003229294,4.216275e-7,0.000401705,0.02536114,0.8690128,0.001299525,0.09862109,0.0002934999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7053623,0.0002128233,0.2734888,0.0003692248,0.0003893749,0.000372464,0.00002130835,0.001577376,0.01820624],"genre_scores_gemma":[0.9758467,0.00001420224,0.02343526,0.00008681943,0.00003450882,0.00005140897,0.000008992361,0.00002387751,0.0004982222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4547829,"threshold_uncertainty_score":0.5289556,"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."}}