{"id":"W2339714323","doi":"10.1088/1674-1056/25/4/046106","title":"Channeling of fast ions through the bent carbon nanotubes: The extended two-fluid hydrodynamic model","year":2016,"lang":"en","type":"article","venue":"Chinese Physics B","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bent molecular geometry; Ion; Carbon nanotube; Materials science; Carbon fibers; Mechanics; Nanotechnology; Chemical physics; Physics; Composite material; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008857503,0.000275554,0.0002929455,0.00002229943,0.0001677944,0.000008026838,0.0003239085,0.00003803946,0.000002949218],"category_scores_gemma":[0.000006961913,0.0001144078,0.000178415,0.0002825902,0.0001334138,0.0001099941,0.00005879767,0.0001191518,0.000005624302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003112428,"about_ca_system_score_gemma":0.00001776681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005380497,"about_ca_topic_score_gemma":0.00004593303,"domain_scores_codex":[0.9990029,0.00001435933,0.0002730715,0.0001935435,0.0002170269,0.0002991098],"domain_scores_gemma":[0.9992826,0.0001029127,0.00005043616,0.0004783345,0.00005808722,0.00002761171],"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":[0.00003346294,0.0001576104,0.0002542349,0.0001497785,0.0005209651,0.000003972384,0.01793722,0.7180115,0.2473617,0.007754433,0.0001624737,0.007652607],"study_design_scores_gemma":[0.0008419353,0.00003841899,0.0002075259,0.0001793501,0.0001278925,0.000002630817,0.0003412034,0.8991274,0.03056633,0.06806093,0.00008866988,0.0004177748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370705,0.001491713,0.05732665,0.0005538129,0.00048208,0.0003204984,0.00007521373,0.0001809381,0.002498537],"genre_scores_gemma":[0.9985493,0.0007946407,0.00008794456,0.00003871438,0.0003059419,0.00005744308,0.000006844622,0.00005061466,0.0001085644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2167954,"threshold_uncertainty_score":0.4665415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086568419781158,"score_gpt":0.2262950565221885,"score_spread":0.2154293723243769,"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."}}