{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001244027,0.0002084412,0.0001429363,0.0002899695,0.0001716583,0.0002360384,0.0001807597,0.0004870212,0.0002823322],"category_scores_gemma":[0.000377463,0.0001204573,0.0001670193,0.0001989669,0.0002637212,0.0003028824,0.0001900672,0.0001919648,0.0001127177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003993087,"about_ca_system_score_gemma":0.0001226153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006776698,"about_ca_topic_score_gemma":0.0005700543,"domain_scores_codex":[0.9998449,0.00003027973,0.000004799108,0.00003716048,0.00006660281,0.000016195],"domain_scores_gemma":[0.9998571,0.00007027428,0.00002000271,0.000008589906,0.00003381754,0.00001013808],"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":[0.00003257899,0.000009302116,0.0002733584,0.00004379682,0.000003867845,0.00005800388,0.00001734994,0.001314556,0.9928781,0.0008902868,0.00008015335,0.004398603],"study_design_scores_gemma":[0.000003091524,0.00006595839,0.0005689674,0.00000484637,0.000004809385,0.00009069867,0.00001098502,0.01761679,0.9792736,0.0003597818,0.001989737,0.00001091893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9414688,0.005000689,0.04795491,0.0003471216,0.0001162902,0.00004059696,0.0001288751,0.0002108421,0.004731799],"genre_scores_gemma":[0.9701408,0.001399772,0.02662108,0.00005865118,0.00001455236,0.00002761227,0.00005163047,0.00001217104,0.001673816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006776698,"threshold_uncertainty_score":0.002897203,"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."}}