{"id":"W1970434851","doi":"10.1016/j.jcis.2012.04.061","title":"A model for carbon nanotube–DNA hybrid using one-dimensional density of states","year":2012,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Carbon nanotube; Electrolyte; Debye length; Materials science; Charge density; Debye–Hückel equation; Surface charge; Metal; Nanotechnology; DNA; Electric potential; Chemical physics; Nanotube; Molecular physics; Chemistry; Ion; Electrode; Physics; Voltage; Physical 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":[0.0003297448,0.000612053,0.001151284,0.001042669,0.001587306,0.001616441,0.002270089,0.003840628,0.01003591],"category_scores_gemma":[0.0005962976,0.0004538006,0.001243373,0.0009714835,0.001779873,0.002703604,0.001059163,0.001242815,0.001074781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254934,"about_ca_system_score_gemma":0.001040958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003391936,"about_ca_topic_score_gemma":0.002607412,"domain_scores_codex":[0.9997745,0.00005120211,0.00001112596,0.00004592293,0.00007021369,0.00004711484],"domain_scores_gemma":[0.999711,0.0001159439,0.00002433534,0.000042551,0.00004814456,0.00005807442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006164404,0.0001227927,0.0003370329,0.000133688,0.00003219803,0.0004207486,0.0001366121,0.2179649,0.01519729,0.7616396,0.001532783,0.002420759],"study_design_scores_gemma":[0.00005835228,0.00007165579,0.0001773094,0.00001898089,0.00001866818,0.0001810449,0.00007766763,0.8702828,0.001993999,0.1238558,0.003214023,0.00004974389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.395875,0.002146312,0.4234776,0.007199307,0.00149124,0.0003826729,0.001350605,0.0004713853,0.1676059],"genre_scores_gemma":[0.8875539,0.001102714,0.04515133,0.0008781253,0.0001773017,0.0006634402,0.0003969955,0.0001838,0.06389244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01003591,"threshold_uncertainty_score":0.03357345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0320485206478646,"score_gpt":0.2949366317578183,"score_spread":0.2628881111099536,"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."}}