{"id":"W1969299980","doi":"10.1103/physrevlett.100.196401","title":"Nanoscale High Energetic Materials: A Polymeric Nitrogen Chain<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msub><mml:mi mathvariant=\"normal\">N</mml:mi><mml:mn>8</mml:mn></mml:msub></mml:math>Confined inside a Carbon Nanotube","year":2008,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Materials science; Carbon nanotube; Nitrogen; Nanoscopic scale; Molecular dynamics; Nanotube; Carbon fibers; Nanotechnology; Computational chemistry; Physics; Chemistry; Composite material; Quantum mechanics; Composite number","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":[0.00009556443,0.000135812,0.0001113043,0.0001015469,0.0003126367,0.0002790877,0.0002254032,0.0004126679,0.001588749],"category_scores_gemma":[0.0001232289,0.0001019887,0.00009812503,0.00006829653,0.0003707747,0.0005051755,0.0001817283,0.0001554124,0.0001729626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000266422,"about_ca_system_score_gemma":0.0001211333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002952804,"about_ca_topic_score_gemma":0.0007987566,"domain_scores_codex":[0.9999611,0.00000569656,8.757144e-7,0.00001078877,0.00001571558,0.000005754147],"domain_scores_gemma":[0.9999667,0.00001749596,0.000006050675,0.000003966317,0.000002700066,0.000002919195],"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":[0.0001528595,0.0001590758,0.001086161,0.000384691,0.0000329131,0.0005753156,0.0001069588,0.03601221,0.7239404,0.2258728,0.001065204,0.01061143],"study_design_scores_gemma":[0.0001402058,0.0007027767,0.005025609,0.00005082597,0.00005982524,0.001050096,0.0001764691,0.3703022,0.5588214,0.0424394,0.02117239,0.00005872549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617167,0.001042718,0.01717188,0.0003914422,0.00007404008,0.00001854548,0.00004230481,0.00005495584,0.01948741],"genre_scores_gemma":[0.9876345,0.0003360857,0.008832394,0.00002789972,0.00001666216,0.00001641405,0.00003624043,0.00001224471,0.003087485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001588749,"threshold_uncertainty_score":0.005314946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137586737499348,"score_gpt":0.2355203347963953,"score_spread":0.2217616610464605,"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."}}