{"id":"W2104198554","doi":"10.1016/j.carbon.2006.11.033","title":"Controlled synthesis of pointed carbon nanotubes","year":2007,"lang":"en","type":"article","venue":"Carbon","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada; Institut National de la Recherche Scientifique","funders":"","keywords":"Carbon nanotube; Materials science; Morphology (biology); Graphene; Nanotechnology; Catalysis; Carbon fibers; Particle (ecology); Composite material; Carbon nanofiber; Chemical engineering; Composite number; Chemistry; Organic chemistry","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":[0.0001684289,0.0004018636,0.0002600585,0.0003469283,0.0002976572,0.0004161544,0.0003137465,0.0004728231,0.001221758],"category_scores_gemma":[0.0002783408,0.0002055504,0.0001771359,0.0003472236,0.000240611,0.0003748398,0.0002779181,0.0005404256,0.0004082959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003971946,"about_ca_system_score_gemma":0.0002473177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003694112,"about_ca_topic_score_gemma":0.001587819,"domain_scores_codex":[0.9998456,0.00001488751,0.00001137031,0.00003707301,0.00006196233,0.00002903717],"domain_scores_gemma":[0.9997714,0.00005552754,0.00004955744,0.00003552156,0.00005575295,0.00003214662],"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":[0.00006800723,0.00001905195,0.00004274828,0.0001094105,0.000006823216,0.00005401792,0.00003963094,0.0005276104,0.9940347,0.001137114,0.0001770636,0.003783817],"study_design_scores_gemma":[0.00000645936,0.00005064672,0.0001434204,0.000004594153,0.000003863311,0.00002975993,0.000007414145,0.001028016,0.9967091,0.0001601363,0.001848813,0.000007735975],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630218,0.003739835,0.02312553,0.0001322828,0.0002048395,0.00005742337,0.0003155326,0.0003165354,0.009086438],"genre_scores_gemma":[0.9790005,0.001612756,0.01318668,0.00004610955,0.00002584009,0.00003941796,0.0002024147,0.0001067296,0.005779678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001221758,"threshold_uncertainty_score":0.00408715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008174909282719566,"score_gpt":0.2396582066360944,"score_spread":0.2314832973533748,"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."}}