{"id":"W4412546327","doi":"10.21203/rs.3.rs-7088098/v1","title":"Optical Characterization of a Non-Thermal Microwave Argon Plasma Column at Intermediate Pressure in the Presence of S8.","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Courtois Foundation; Centre québécois sur les matériaux fonctionnels","keywords":"Argon; Microwave; Plasma; Characterization (materials science); Thermal; Column (typography); Materials science; Analytical Chemistry (journal); Chemistry; Physics; Chromatography; Nanotechnology; Thermodynamics; Organic chemistry; Computer science; Nuclear physics; Telecommunications","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":[0.00006996625,0.0001692741,0.0001269435,0.0001902074,0.0004112461,0.0002159494,0.0003672108,0.0003261374,0.003646302],"category_scores_gemma":[0.0001569641,0.0001164154,0.00009576092,0.0001637956,0.0003328634,0.0002042725,0.0001315151,0.0003350073,0.0003809416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001750894,"about_ca_system_score_gemma":0.0001800112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002391777,"about_ca_topic_score_gemma":0.002513998,"domain_scores_codex":[0.9999269,0.000005905762,0.000001337586,0.00001857509,0.00002699646,0.00002030736],"domain_scores_gemma":[0.9998546,0.00007599726,0.00001790154,0.0000114528,0.00002445878,0.00001560696],"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":[0.0002344112,0.00002549566,0.0004273832,0.00003362382,0.000005409682,0.00007739924,0.00003714754,0.00008412264,0.9975694,0.00005046335,0.0001727526,0.001282482],"study_design_scores_gemma":[0.00001691227,0.0003052653,0.0116269,0.00000478054,0.00001187829,0.000171889,0.000102083,0.002176836,0.9838269,0.00006123418,0.0016868,0.000008576765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945837,0.0003652883,0.001432399,0.0001098529,0.00001657084,0.00001002781,0.0004021496,0.0001248359,0.00295525],"genre_scores_gemma":[0.9973641,0.0001194521,0.0006965283,0.00004292551,0.000008698777,0.000007294077,0.0002470734,0.00002097982,0.001492917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003646302,"threshold_uncertainty_score":0.01219815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117051077894432,"score_gpt":0.3086390779732859,"score_spread":0.2874685671943416,"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."}}