{"id":"W2748737273","doi":"10.1039/c7ra07474c","title":"Coulomb explosion of vertically aligned carbon nanofibre induced by field electron emission","year":2017,"lang":"en","type":"article","venue":"RSC Advances","topic":"Diamond and Carbon-based Materials Research","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Toronto Public Health; Regional Municipality of Waterloo; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coulomb explosion; Coulomb; Field electron emission; Electron; Carbon fibers; Carbon nanofiber; Materials science; Electric field; Field (mathematics); Atomic physics; Nanotechnology; Composite material; Physics; Ion; Carbon nanotube; Nuclear physics; Quantum mechanics","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":[0.0001097065,0.0001955674,0.0001352708,0.0001901996,0.0001850824,0.0002513332,0.0002935262,0.0004497296,0.002131004],"category_scores_gemma":[0.0002727328,0.0001244852,0.0001638092,0.0001284577,0.0003080877,0.0003524032,0.0001981322,0.0005373,0.0001761449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004338405,"about_ca_system_score_gemma":0.0001471911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001212949,"about_ca_topic_score_gemma":0.001641148,"domain_scores_codex":[0.9998933,0.000006092968,0.000003268605,0.00002315339,0.00004202569,0.00003209482],"domain_scores_gemma":[0.9998803,0.00005249497,0.00002304126,0.00001136046,0.00001810964,0.00001471075],"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":[0.00009736091,0.00003565618,0.0002337895,0.00005453744,0.000007500997,0.0003945993,0.00008175702,0.0003499063,0.9942067,0.0008872931,0.0002504739,0.003400519],"study_design_scores_gemma":[0.00001869145,0.0001047135,0.004325797,0.000006319484,0.000003657454,0.0002137392,0.00006363187,0.003632928,0.9904665,0.0001660267,0.0009874656,0.00001062982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933518,0.0003006774,0.002479619,0.0001019242,0.00002934595,0.00001997117,0.00009076263,0.00006602927,0.003559818],"genre_scores_gemma":[0.9971266,0.0001160865,0.0008796896,0.00002922742,0.000005902606,0.0000115118,0.00006945952,0.00001454203,0.001746891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002131004,"threshold_uncertainty_score":0.007128954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0141271801065243,"score_gpt":0.3070966498365195,"score_spread":0.2929694697299952,"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."}}