{"id":"W2040564230","doi":"10.1115/1.4007388","title":"Gene Detection With Carbon Nanotubes","year":2012,"lang":"en","type":"article","venue":"Journal of Nanotechnology in Engineering and Medicine","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Canada Research Chairs","keywords":"Nanosensor; Carbon nanotube; Gene; Nucleobase; Nucleic acid; Nanotechnology; Proline; DNA; Materials science; Biophysics; Chemistry; Amino acid; Biology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005599755,0.0001143155,0.0002948417,0.0004657926,0.00001833819,0.000003968166,0.0001115659,0.0001335977,0.000005537354],"category_scores_gemma":[0.0002072721,0.00007858335,0.00001512628,0.0002557104,0.0001170047,0.00009747374,0.0000301159,0.0002710857,4.884479e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006447546,"about_ca_system_score_gemma":0.00001410824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002376969,"about_ca_topic_score_gemma":0.000005164084,"domain_scores_codex":[0.9991874,0.00001563738,0.0003016844,0.00008470593,0.0001665364,0.0002440052],"domain_scores_gemma":[0.9995381,0.0001019944,0.0001205451,0.0001197082,0.00004978305,0.00006986096],"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":[0.00004274865,0.00002018709,0.002032803,0.00002151859,0.000008342007,0.00002939587,0.0001736582,0.0006143746,0.995253,0.00005081807,0.000003117158,0.001750055],"study_design_scores_gemma":[0.0008989412,0.0005593724,0.001542791,0.0002261289,0.00003647873,0.002426626,0.00007718174,0.0007284679,0.9929366,0.00003525135,0.0004312439,0.0001009043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915967,0.005075566,0.001923454,0.0003871651,0.0009038708,0.00004711687,2.34934e-7,0.00004479981,0.00002108615],"genre_scores_gemma":[0.9965631,0.0002292041,0.002864233,0.00002180389,0.0003007606,0.000002723366,9.778805e-8,0.00001266611,0.000005444706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00496636,"threshold_uncertainty_score":0.3204536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006153725363789348,"score_gpt":0.2164539274048848,"score_spread":0.2103002020410954,"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."}}