{"id":"W4399045633","doi":"10.1007/s00170-024-13764-9","title":"Characterization of laser cladding functional coatings: an in-situ monitoring and variability analysis approach","year":2024,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; University of Windsor","keywords":"Laser power scaling; Materials science; Coating; Cladding (metalworking); Laser; Volumetric flow rate; Laser scanning; Deposition (geology); Composite material; Mechanical engineering; Optics; Geology; Engineering; Mechanics","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":[0.0003770339,0.0001210008,0.0002285861,0.0006616509,0.00002749188,0.0000578371,0.0002841692,0.00007697418,0.00002247077],"category_scores_gemma":[0.00005171445,0.00009273284,0.00005170105,0.000201319,0.0000812549,0.0003752128,0.00006877962,0.0002652509,4.4203e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008338736,"about_ca_system_score_gemma":0.00001541453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000184441,"about_ca_topic_score_gemma":0.000001983345,"domain_scores_codex":[0.9991241,0.00002339593,0.0004014303,0.0001380704,0.0001994763,0.0001135604],"domain_scores_gemma":[0.9995367,0.0001009877,0.0001374674,0.0001093763,0.00009292848,0.00002252252],"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":[0.00008040153,0.00003295414,0.00120333,0.0001308951,0.0004990965,0.00001754593,0.0003708395,0.112646,0.8616713,0.0005472273,0.000002136277,0.02279825],"study_design_scores_gemma":[0.0001501503,0.00002888161,0.02145748,0.00009156456,0.00006758601,0.00005212972,0.0001740129,0.001081352,0.9726896,0.003927726,0.0001907909,0.00008873502],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691383,0.00009467233,0.02972922,0.0001410979,0.0006482762,0.00005320115,0.00001359519,0.00008477887,0.00009684509],"genre_scores_gemma":[0.9973497,0.0001997848,0.002228818,0.000004874582,0.0001778514,0.00000655652,0.0000116219,0.00001506903,0.000005700974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1115646,"threshold_uncertainty_score":0.3781535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008991545315336236,"score_gpt":0.2337936265045119,"score_spread":0.2248020811891756,"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."}}