{"id":"W1989158940","doi":"10.1007/s11666-011-9700-7","title":"Optimization of Plasma Spray Process Using Statistical Methods","year":2011,"lang":"en","type":"article","venue":"Journal of Thermal Spray Technology","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Carleton University","funders":"","keywords":"Materials science; Microstructure; Nozzle; Porosity; Particle size; Taguchi methods; Grain size; Volumetric flow rate; Composite material; Coating; Oxide; Metallurgy; Thermodynamics; Chemical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003923711,0.0001498754,0.0003600558,0.0004163734,0.00003163565,0.000008428358,0.0003242013,0.0003075845,0.0001754526],"category_scores_gemma":[0.0002228389,0.0001292213,0.00005560619,0.0003861846,0.0001245715,0.0001527498,0.00003078869,0.0005223148,0.000003685608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005972591,"about_ca_system_score_gemma":0.00004992747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001623697,"about_ca_topic_score_gemma":9.776093e-7,"domain_scores_codex":[0.9988974,0.00006257063,0.0005739052,0.00009499485,0.0001586745,0.0002124594],"domain_scores_gemma":[0.9992051,0.00005882598,0.0002908728,0.0001686399,0.0002203317,0.00005623557],"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":[0.0000382783,0.00006399416,0.002635476,0.00004582363,0.00006896688,0.00004936738,0.0003529728,0.1710536,0.8236314,0.0004222971,0.00001777747,0.001620043],"study_design_scores_gemma":[0.0003872023,0.0002430556,0.0005251022,0.00008588841,0.0001142433,0.0003086625,0.0001665268,0.008200442,0.9895512,0.0001581681,0.00009303159,0.0001664963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7774152,0.00007145981,0.2218416,0.00001592107,0.0003460739,0.00006415795,0.000004822461,0.00009133185,0.000149526],"genre_scores_gemma":[0.5970377,0.000005139442,0.4028957,0.000002307007,0.00002987513,0.000001144805,3.625056e-7,0.00002576319,0.000002004372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1810542,"threshold_uncertainty_score":0.526949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02817549265367834,"score_gpt":0.3136821115032024,"score_spread":0.285506618849524,"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."}}