{"id":"W4386763155","doi":"10.32620/aktt.2017.2.05","title":"ПРИНЦИПИ ФОРМУВАННЯ ІМПУЛЬСНОГО ПЛАЗМОВОГО СЕРЕДОВИЩА ДЛЯ ПІДВИЩЕННЯ ЗАВАДОСТІЙКОСТІ РАДІОСИГНАЛІВ","year":2017,"lang":"uk","type":"article","venue":"Aerospace technic and technology","topic":"Industrial and Mining Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Ionosphere; Plasma; Spacecraft; Antenna (radio); Reduction (mathematics); Computational physics; Physics; Materials science; Optics; Geophysics; Computer science; Mathematics; Telecommunications; Geometry; Astronomy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001030653,0.0004407909,0.0003853023,0.001957787,0.001057212,0.002383047,0.0004998849,0.0007717652,0.0151221],"category_scores_gemma":[0.002399855,0.0005860192,0.0003672631,0.001751445,0.00114892,0.001554705,0.0008234066,0.000979374,0.005457874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007895165,"about_ca_system_score_gemma":0.001470622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002482367,"about_ca_topic_score_gemma":0.003149452,"domain_scores_codex":[0.9988729,0.0001462473,0.00007318412,0.0001892258,0.0006310397,0.00008727224],"domain_scores_gemma":[0.99907,0.0002082912,0.0001586637,0.0001661277,0.0003394219,0.00005754688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002747383,0.0001143289,0.00389753,0.0008956803,0.00008474224,0.001357221,0.001732213,0.004871525,0.1123296,0.2360312,0.01046422,0.6279471],"study_design_scores_gemma":[0.00008560326,0.0003159629,0.008816631,0.0003729303,0.000186552,0.00415581,0.001437539,0.008287416,0.1220013,0.1059665,0.7481269,0.000246828],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1331365,0.03712217,0.5074469,0.005033433,0.002515869,0.0003900261,0.001297335,0.00142255,0.3116353],"genre_scores_gemma":[0.6827941,0.01861419,0.2339313,0.0003347957,0.0005599051,0.0004398154,0.0004887358,0.0004208941,0.0624163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0151221,"threshold_uncertainty_score":0.05058843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330085937084773,"score_gpt":0.2397820469321609,"score_spread":0.2264811875613132,"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."}}