{"id":"W6437266","doi":"10.31399/asm.cp.itsc2003p1269","title":"DC Plasma Diagnostics for Improvement of Plasma Spraying Process under Soft Vacuum Conditions","year":2003,"lang":"en","type":"article","venue":"Thermal spray","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nozzle; Materials science; Plasma; Plasma torch; Anode; Solution precursor plasma spray; Volumetric flow rate; Plasma diagnostics; Spray nozzle; Analytical Chemistry (journal); Dense plasma focus; Vacuum chamber; Thermal spraying; Composite material; Chemistry; Mechanics; Electrode; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003918012,0.0004457227,0.0003583019,0.0004153924,0.0001877394,0.0005194858,0.0003531244,0.0002671428,0.001590873],"category_scores_gemma":[0.0008085847,0.0002098245,0.0001769812,0.0002570314,0.0002889437,0.0003426905,0.0004313563,0.0003562292,0.0004019816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003716559,"about_ca_system_score_gemma":0.000211743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007784828,"about_ca_topic_score_gemma":0.00079466,"domain_scores_codex":[0.9995462,0.00003925703,0.00002662046,0.00008091799,0.0002574818,0.00004949901],"domain_scores_gemma":[0.9994709,0.0001485357,0.0001195266,0.00005928318,0.0001719086,0.0000299132],"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":[0.00002958347,0.000005356398,0.0004265173,0.0000497351,0.000002821956,0.00002236311,0.00002689081,0.00009962613,0.9937005,0.00008451838,0.00004935761,0.005502744],"study_design_scores_gemma":[0.00001107548,0.0001049859,0.00303661,0.000006326993,0.00001114556,0.0001383675,0.00001975475,0.002303328,0.9928469,0.00004060917,0.001474299,0.000006596434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9214235,0.002018098,0.07354969,0.000137701,0.00005652975,0.00008063282,0.0001337711,0.0006631161,0.001936994],"genre_scores_gemma":[0.9709752,0.0005683935,0.02711134,0.00004401499,0.00002019524,0.00003041957,0.000128188,0.00009676009,0.001025537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001590873,"threshold_uncertainty_score":0.005322039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332592107053729,"score_gpt":0.2546127258480634,"score_spread":0.2412868047775261,"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."}}