{"id":"W2038722656","doi":"10.1007/s11663-006-0040-9","title":"Heat-transfer enhancement using weakly ionized, atmospheric pressure plasma in metallurgical applications","year":2006,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions B","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint-Gobain (Canada)","funders":"","keywords":"Heat transfer; Plasma; Convective heat transfer; Materials science; Thermodynamics; Mechanics; Ionization; Churchill–Bernstein equation; Atomic physics; Chemistry; Nusselt number; Turbulence; Ion; Physics","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":[0.0001644968,0.0001963058,0.0002883259,0.0001413444,0.0002646142,0.0003771727,0.0003408051,0.0002655564,0.001891235],"category_scores_gemma":[0.0002739535,0.0001749761,0.0002028192,0.0001861514,0.0003986058,0.0004283166,0.0003328701,0.0002670086,0.0003322765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001616133,"about_ca_system_score_gemma":0.0001271265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002288202,"about_ca_topic_score_gemma":0.0002724137,"domain_scores_codex":[0.9999186,0.00001257608,0.000003209228,0.00001544591,0.00002996727,0.00002031109],"domain_scores_gemma":[0.9999146,0.0000370716,0.00001077361,0.00000859077,0.00001868067,0.00001021637],"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":[0.0002831132,0.00001993505,0.0004155488,0.0001111887,0.000006085342,0.00005890086,0.00008260298,0.0004770012,0.9929466,0.0008683127,0.0001875132,0.004543221],"study_design_scores_gemma":[0.00002729135,0.0002066498,0.001829591,0.000004147375,0.00001530017,0.0001565683,0.00004974916,0.005671569,0.9900241,0.0002963523,0.001710389,0.000008314275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740293,0.002002102,0.01654984,0.000215641,0.00008620733,0.00003684654,0.00004656821,0.0001851318,0.006848355],"genre_scores_gemma":[0.9950146,0.0003032992,0.002372003,0.00002320685,0.00002927544,0.000008852774,0.00002603449,0.00001747475,0.002205228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001891235,"threshold_uncertainty_score":0.006326795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006686037089664934,"score_gpt":0.1958281779576694,"score_spread":0.1891421408680045,"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."}}