{"id":"W2762091839","doi":"10.1088/1361-6463/aa916d","title":"Characterization of argon dielectric barrier discharges applied to ethyl lactate plasma polymerization","year":2017,"lang":"en","type":"article","venue":"Journal of Physics D Applied Physics","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval; Hôpital Saint-François d'Assise","funders":"","keywords":"Penning ionization; Dielectric barrier discharge; Argon; Ionization; Analytical Chemistry (journal); X-ray photoelectron spectroscopy; Ethyl lactate; Plasma; Electron density; Dielectric; Microplasma; Metastability; Atomic physics; Plasma polymerization; Materials science; Chemistry; Polymerization; Polymer; Ion; Nuclear magnetic resonance; Chromatography; Organic chemistry","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":[0.0002231477,0.0002184694,0.0002287033,0.0001982834,0.0001229751,0.0002475924,0.0002395286,0.0002438935,0.0009339725],"category_scores_gemma":[0.0005949773,0.0001310727,0.0001781023,0.0003099745,0.0001938367,0.000202243,0.0002266063,0.00028065,0.0001757543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001889808,"about_ca_system_score_gemma":0.0001532289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000409811,"about_ca_topic_score_gemma":0.0004270799,"domain_scores_codex":[0.9998083,0.00002257545,0.00001447626,0.00003792101,0.00008532032,0.00003156753],"domain_scores_gemma":[0.9996934,0.000124245,0.00007177053,0.0000205971,0.00006689729,0.00002319921],"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":[0.00005827965,0.000004788148,0.0002472895,0.00004398118,0.00000280815,0.00003799312,0.00005531072,0.00006582458,0.9976425,0.0000250931,0.00001143336,0.001804585],"study_design_scores_gemma":[0.00000414335,0.0001701172,0.005032358,0.000005393969,0.000006880606,0.0001171371,0.0000401109,0.0006611123,0.9930708,0.00002167985,0.0008666975,0.000003566045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957515,0.0007066071,0.002695211,0.00002441609,0.000006770527,0.00001377123,0.0001267411,0.00002829565,0.0006467238],"genre_scores_gemma":[0.996124,0.0008954442,0.00183476,0.00002301719,0.000005771203,0.00002263559,0.0001815922,0.00002079164,0.0008920477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009339725,"threshold_uncertainty_score":0.003124475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448653279824137,"score_gpt":0.2610684430776941,"score_spread":0.2465819102794528,"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."}}