{"id":"W2085436239","doi":"10.1361/105996306x146785","title":"Optimization of Laser Cladding Process Using Taguchi and EM Methods for MMC Coating Production","year":2006,"lang":"en","type":"article","venue":"Journal of Thermal Spray Technology","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre de Géomatique du Québec; National Research Council Canada","funders":"","keywords":"Materials science; Taguchi methods; Laser; Coating; Composite material; Composite number; Volume fraction; Metal matrix composite; Cladding (metalworking); Coaxial; Penetration depth; Aluminium; Optics; Mechanical engineering","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":[0.0008685043,0.0004320133,0.000537596,0.0003498524,0.0003559069,0.0005788303,0.0003926207,0.0003559449,0.0003846195],"category_scores_gemma":[0.0006944325,0.0003589853,0.0003923489,0.0004483611,0.000243519,0.0003105306,0.0002381708,0.0003994845,0.0001519222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006597784,"about_ca_system_score_gemma":0.0006125858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001634284,"about_ca_topic_score_gemma":0.004152086,"domain_scores_codex":[0.999453,0.00009526791,0.00004840963,0.00005959156,0.0002820973,0.00006164424],"domain_scores_gemma":[0.9994585,0.0001871627,0.0001019881,0.00005751855,0.000170338,0.00002451168],"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":[0.000122335,0.00004319172,0.0005229916,0.0000854297,0.000008825,0.00001999356,0.00003294485,0.003522185,0.981746,0.0002119711,0.00003941133,0.0136448],"study_design_scores_gemma":[0.00000986203,0.0002038263,0.001349599,0.000003699101,0.0000195773,0.00003206153,0.00001119595,0.01186383,0.9858257,0.00002906737,0.0006433379,0.00000816888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.864825,0.001643226,0.1307872,0.00004871808,0.00006117905,0.00009295433,0.00007270786,0.0002115057,0.002257468],"genre_scores_gemma":[0.9092628,0.0005149285,0.08862578,0.00001798675,0.00001140838,0.00004433853,0.00006230496,0.00004077091,0.001419666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001634284,"threshold_uncertainty_score":0.004787028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166693145252453,"score_gpt":0.2962892952594565,"score_spread":0.284622363806932,"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."}}