{"id":"W4400106638","doi":"10.1088/1361-6595/ad5d11","title":"Time-resolved analysis of Ar metastable and electron populations in low-pressure misty plasma processes using optical emission spectroscopy","year":2024,"lang":"en","type":"article","venue":"Plasma Sources Science and Technology","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Université de Montréal; Centre National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Argon; Plasma; Chemistry; Metastability; Electron density; Ionization; Electron; Atomic physics; Spectroscopy; Inductively coupled plasma; Number density; Analytical Chemistry (journal); Ion","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":[0.0001098312,0.0001620395,0.0001007765,0.0002530082,0.0001280687,0.0001858029,0.0002140359,0.0002076792,0.001066161],"category_scores_gemma":[0.0002414507,0.00009906162,0.0001207065,0.0001454327,0.0002203656,0.0003048881,0.000155798,0.0002882715,0.0001235247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00017523,"about_ca_system_score_gemma":0.00007811952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006041094,"about_ca_topic_score_gemma":0.0004818617,"domain_scores_codex":[0.9999243,0.000007664209,0.000002221339,0.00001994563,0.00003115488,0.00001469815],"domain_scores_gemma":[0.9998729,0.0000527122,0.00003092343,0.000007525955,0.00002789759,0.000008020495],"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":[0.00008252255,0.00001333791,0.001168695,0.00002381927,0.000004304063,0.0000414614,0.00007700146,0.0001229492,0.9961349,0.0001131638,0.00003053524,0.002187441],"study_design_scores_gemma":[0.000006667645,0.0001233627,0.01096357,0.0000037523,0.000006913591,0.0001064834,0.00008412611,0.005767816,0.9824083,0.00007882415,0.0004425931,0.000007527655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951826,0.0001619479,0.00386694,0.00001823137,0.000004216638,0.000008298864,0.00008177571,0.0000449801,0.0006308534],"genre_scores_gemma":[0.9981048,0.000082264,0.001276516,0.00000673728,0.000002343537,0.00001021643,0.00004835954,0.000008935827,0.000459724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001066161,"threshold_uncertainty_score":0.003566623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158209299681415,"score_gpt":0.261188441136932,"score_spread":0.2496063481401179,"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."}}