{"id":"W2976314926","doi":"10.1088/1361-6463/ab4777","title":"Interpretation of artifacts in Fourier transform infrared spectra of atmospheric pressure dielectric barrier discharges: relationship with the plasma frequency between 300 Hz and 15 kHz","year":2019,"lang":"en","type":"article","venue":"Journal of Physics D Applied Physics","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôpital Saint-François d'Assise","funders":"Natural Sciences and Engineering Research Council of Canada; CHIST-ERA; Agence Nationale de la Recherche","keywords":"Infrared; Spectral line; Dielectric barrier discharge; Fourier transform spectroscopy; Plasma; Fourier transform; Absorption (acoustics); Low frequency; Interferometry; Infrared spectroscopy; Plasma oscillation; Wavenumber; Excitation; Atmospheric pressure; Dielectric; Fourier transform infrared spectroscopy; Materials science; Chemistry; Optics; Physics; Optoelectronics","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":[0.000238966,0.0002425198,0.0001760725,0.0008348854,0.0001504304,0.0002243233,0.0002594809,0.0003494799,0.001076817],"category_scores_gemma":[0.000894368,0.00009601859,0.0001241144,0.0004415075,0.0003175318,0.0002738083,0.0002215287,0.0004296104,0.0001745512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008037292,"about_ca_system_score_gemma":0.00006840604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001555359,"about_ca_topic_score_gemma":0.0001350104,"domain_scores_codex":[0.9998654,0.00002077432,0.000008702962,0.00002619242,0.00006148564,0.0000174544],"domain_scores_gemma":[0.9992248,0.0003835462,0.0001773342,0.00007106853,0.00009534141,0.00004795045],"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":[0.0004648186,0.00006393663,0.004912283,0.0001319799,0.00001924015,0.0007432319,0.0002840416,0.0002238621,0.9708241,0.0001942968,0.0001200522,0.02201819],"study_design_scores_gemma":[0.00001851582,0.0004794144,0.1007211,0.00002779891,0.00005428413,0.004685574,0.0003080356,0.006376252,0.884812,0.0005534416,0.001937555,0.00002591974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743853,0.0008915975,0.02286061,0.00008692467,0.00003493781,0.00001915864,0.0001172699,0.0002104377,0.001393648],"genre_scores_gemma":[0.9934517,0.0002563464,0.005744578,0.00002669074,0.00001960807,0.00001135262,0.000100491,0.00002730452,0.0003619097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001076817,"threshold_uncertainty_score":0.003602326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008704173805080206,"score_gpt":0.2258866957145193,"score_spread":0.2171825219094391,"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."}}