{"id":"W1991248014","doi":"10.1109/plasma.2014.7012559","title":"Collisional-radiative model for the diagnostics of low pressure inductively coupled krypton plasma","year":2014,"lang":"en","type":"article","venue":"","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Krypton; Plasma; Radiative transfer; Atomic physics; Population; Argon; Kinetic energy; Atmospheric pressure; Inductively coupled plasma; Physics; Atmospheric-pressure plasma; Spectroscopy; Computational physics; Nuclear physics; Optics","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":[0.0005574679,0.0006368436,0.0005714954,0.0005108044,0.0005850602,0.0006508224,0.002571431,0.001172514,0.002349233],"category_scores_gemma":[0.001143738,0.0003180208,0.001053412,0.0005959614,0.0007948304,0.001127296,0.0007944116,0.001016139,0.0006307981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135287,"about_ca_system_score_gemma":0.001082036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004920185,"about_ca_topic_score_gemma":0.002295672,"domain_scores_codex":[0.9996961,0.00007876813,0.00001134539,0.00005516609,0.0001086781,0.00004991127],"domain_scores_gemma":[0.9995984,0.0001513885,0.00006123278,0.00005418988,0.00009646443,0.00003825022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008406761,0.00009874893,0.001754459,0.0001542456,0.00004948763,0.0005235256,0.0003092844,0.7479048,0.01881995,0.222251,0.001266701,0.006783738],"study_design_scores_gemma":[0.00001018402,0.00001932971,0.0002013553,0.000003123122,0.000007316955,0.0001113262,0.00001440635,0.9903567,0.0008409292,0.00722957,0.001196267,0.000009472672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07576103,0.001234764,0.893794,0.0006381449,0.0001639665,0.0002023263,0.0003966812,0.0005334507,0.02727563],"genre_scores_gemma":[0.8896942,0.001582765,0.07832751,0.000396364,0.000159788,0.0004369053,0.0004499723,0.0003700443,0.0285824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004920185,"threshold_uncertainty_score":0.009783089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153996702679769,"score_gpt":0.2147295444517416,"score_spread":0.2031895774249439,"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."}}