{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009489884,0.0009987073,0.001002013,0.0001558754,0.0007504827,0.0006351137,0.001298795,0.0004467639,0.001926164],"category_scores_gemma":[0.0002720968,0.001309085,0.001977948,0.00107722,0.0006174367,0.001196657,0.001184681,0.001830775,0.005343531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006190728,"about_ca_system_score_gemma":0.0005114309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003105118,"about_ca_topic_score_gemma":0.0001189124,"domain_scores_codex":[0.9932883,0.0004085817,0.001756019,0.001704323,0.001259365,0.001583365],"domain_scores_gemma":[0.9947645,0.001088005,0.001286577,0.001920696,0.0001698023,0.0007704149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001102172,0.001282462,0.0001249543,0.005958153,0.000620627,0.0001041136,0.0003399969,0.0001205996,0.001942081,0.9629279,0.007477218,0.01899164],"study_design_scores_gemma":[0.002874837,0.001915203,0.001456734,0.05249566,0.007144871,0.0006063701,0.000915751,0.7508097,0.1219311,0.009498157,0.04498543,0.005366192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775926,0.005295434,0.001679947,0.001397457,0.000540923,0.000349045,0.0005355868,0.0001260902,0.01248289],"genre_scores_gemma":[0.9795378,0.01303947,0.0003960627,0.00211256,0.001639083,0.001563932,0.001214658,0.0003643627,0.0001320954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9534298,"threshold_uncertainty_score":0.9989862,"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."}}