{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001353769,0.0002381427,0.0007127953,0.0002343755,0.00003858049,0.00002872114,0.0004028231,0.0001465104,0.00009947835],"category_scores_gemma":[0.0009567393,0.0002091393,0.0001847503,0.0003060403,0.0002191722,0.00004972913,0.0001245246,0.0001093193,0.0000110522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001090438,"about_ca_system_score_gemma":0.0000654647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004713628,"about_ca_topic_score_gemma":0.00006195324,"domain_scores_codex":[0.9978669,0.0001160322,0.0006933836,0.0003795236,0.0004735763,0.0004706133],"domain_scores_gemma":[0.9975055,0.001346847,0.0002440617,0.000601885,0.0001870173,0.0001146167],"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":[0.0006654933,0.00007146447,0.001791285,0.00003248897,0.00002411567,0.00002336537,0.0001255285,0.00001434436,0.9963184,0.0004868119,0.00002161187,0.0004250938],"study_design_scores_gemma":[0.001481094,0.00008793933,0.0008872434,0.00009062205,0.00008762028,0.00001516212,0.00007700235,0.0008757359,0.9958513,0.0002095253,0.000110266,0.0002264306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463955,0.000615007,0.0000308194,0.00008492411,0.001110065,0.0003460766,0.000007478374,0.0001553306,0.05125481],"genre_scores_gemma":[0.9988628,0.00001151656,0.000616724,0.00005540856,0.0001964919,0.00002634084,0.000001173657,0.00003510271,0.0001944218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05246733,"threshold_uncertainty_score":0.8528455,"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."}}