{"id":"W2955029596","doi":"10.1063/1.5089767","title":"Characterization of a microwave argon plasma column at atmospheric pressure by optical emission and absorption spectroscopy coupled with collisional-radiative modelling","year":2019,"lang":"en","type":"article","venue":"Physics of Plasmas","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Argon; Atomic physics; Emission spectrum; Electron temperature; Plasma; Radiative transfer; Atmospheric pressure; Absorption (acoustics); Absorption spectroscopy; Spectroscopy; Electron density; Plasma diagnostics; Plasma parameters; Physics; Microwave; Spectral line; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000153904,0.0002808837,0.0002139836,0.0003154553,0.0003159398,0.0003280678,0.000536875,0.0002449985,0.0007465869],"category_scores_gemma":[0.0003214102,0.0002170948,0.0001898769,0.0003388465,0.0002402032,0.0003564058,0.0002498321,0.0003271917,0.0001710862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002733373,"about_ca_system_score_gemma":0.0002272916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002317236,"about_ca_topic_score_gemma":0.001818707,"domain_scores_codex":[0.999836,0.00001024547,0.000003808819,0.0000384793,0.00009215277,0.00001929042],"domain_scores_gemma":[0.9998816,0.00004919259,0.00001804625,0.00001242671,0.00003227969,0.000006388225],"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":[0.0001454985,0.00004209783,0.006157173,0.00009291057,0.00001424842,0.0001251856,0.0001029885,0.005936316,0.9770209,0.0008353858,0.0001644556,0.009362865],"study_design_scores_gemma":[0.0000238732,0.0002430076,0.02640248,0.000007917632,0.00001621472,0.0002521167,0.00008753224,0.1129203,0.8559015,0.0005538777,0.003565406,0.00002572569],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520395,0.0002549085,0.04373673,0.00004830326,0.00000730122,0.00005801269,0.0006683674,0.0004768585,0.002709944],"genre_scores_gemma":[0.9876079,0.0001750372,0.01131309,0.00001392806,0.000005308651,0.00004517451,0.0003389746,0.00004008742,0.0004606223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002317236,"threshold_uncertainty_score":0.004607499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004236019877493555,"score_gpt":0.1764372586489226,"score_spread":0.1722012387714291,"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."}}