{"id":"W2956882135","doi":"10.1103/physreva.100.013406","title":"Short- and long-term gain dynamics in <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:msubsup><mml:mi mathvariant=\"normal\">N</mml:mi><mml:mn>2</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:math> air lasing","year":2019,"lang":"lv","type":"article","venue":"Physical review. A/Physical review, A","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"Army Research Office; Air Force Office of Scientific Research; Engineering and Physical Sciences Research Council; National Research Council Canada; Multidisciplinary University Research Initiative; Government of Ontario","keywords":"Excited state; Physics; Population inversion; Atomic physics; Population; Lasing threshold; Wave packet; Electron; Scattering; Electron capture; Nuclear physics; Optics; Laser","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":[0.000164407,0.0001273715,0.0001221271,0.0001088444,0.000158314,0.0002711786,0.0003107379,0.0002541913,0.001775997],"category_scores_gemma":[0.0003393785,0.00009357683,0.0001995757,0.0001097842,0.0002869454,0.0004328183,0.0001711647,0.0003080783,0.0001937929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006414033,"about_ca_system_score_gemma":0.0002677255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002445938,"about_ca_topic_score_gemma":0.001550586,"domain_scores_codex":[0.9999539,0.000004476061,0.000001274374,0.00001312154,0.00001292257,0.00001438087],"domain_scores_gemma":[0.9999175,0.00003744805,0.00001723686,0.000005417676,0.00001338274,0.000009026098],"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":[0.0007456538,0.0002588739,0.01005435,0.0003415584,0.00009425457,0.0007211042,0.0004893271,0.1573256,0.735786,0.06094904,0.001917564,0.03131671],"study_design_scores_gemma":[0.00008022668,0.0004538264,0.01310732,0.00001907778,0.00004252136,0.0002186833,0.0001676871,0.7531126,0.2193075,0.008028263,0.005405521,0.00005677184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898212,0.0006490399,0.006201042,0.0001053414,0.00001640262,0.0000106159,0.0000873225,0.00006638496,0.00304264],"genre_scores_gemma":[0.9973933,0.0002063958,0.0009803859,0.000009664534,0.000001902913,0.00001009687,0.000057303,0.00001002693,0.001330961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002445938,"threshold_uncertainty_score":0.005941331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456175513107024,"score_gpt":0.2856977305146923,"score_spread":0.2711359753836221,"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."}}