{"id":"W4413001409","doi":"10.1016/j.surfcoat.2025.132545","title":"Influence of process parameters on the microstructure and adhesion of glaze-based coatings","year":2025,"lang":"en","type":"article","venue":"Surface and Coatings Technology","topic":"Material Properties and Applications","field":"Materials Science","cited_by":0,"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","keywords":"Glaze; Microstructure; Materials science; Adhesion; Process (computing); Metallurgy; Composite material; Computer science; 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":[0.0001307313,0.0000820963,0.0001569381,0.0000402568,0.0001065425,0.00001505341,0.0001733601,0.00009204719,0.000008333523],"category_scores_gemma":[0.0001164686,0.00005255092,0.00001026186,0.0002009526,0.0005054648,0.00002721061,0.00005964161,0.00007018918,8.1172e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003998985,"about_ca_system_score_gemma":0.00002730839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001092598,"about_ca_topic_score_gemma":0.000005481945,"domain_scores_codex":[0.9994431,0.00001771608,0.000196031,0.0001756319,0.00006269624,0.0001048498],"domain_scores_gemma":[0.9994667,0.00008784368,0.0001637098,0.0001852692,0.00008603498,0.00001048379],"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":[0.00003005119,0.00001006078,0.002161176,0.0001260907,0.00000125804,6.884265e-8,0.0001107235,0.0002171628,0.9931165,0.003962803,0.00002590926,0.0002382205],"study_design_scores_gemma":[0.0001322316,0.0001014261,0.0007235943,0.0001382152,0.000007830407,7.004278e-7,0.0004079347,0.00004831771,0.9935041,0.004785863,0.00009907914,0.00005070939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972454,0.00008423683,0.00002716552,0.002312275,0.0000135267,0.0002192324,0.00001437811,0.0000366877,0.00004713296],"genre_scores_gemma":[0.9988005,0.00001359895,0.0009320765,0.0002139753,0.00000106474,0.00001609568,7.151993e-7,0.000003911661,0.00001811116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0020983,"threshold_uncertainty_score":0.2142964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007335201872632636,"score_gpt":0.2379534762025995,"score_spread":0.2306182743299669,"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."}}