{"id":"W2793027042","doi":"10.1002/smll.201800013","title":"Detection of Individual Molecules and Ions by Carbon Nanotube‐Based Differential Resistive Pulse Sensor","year":2018,"lang":"en","type":"article","venue":"Small","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Carbon nanotube; Materials science; Molecule; Resistive touchscreen; Nanotechnology; Rhodamine B; Rhodamine; Ion; Fluorescence; Chemistry; Computer science; Organic chemistry","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":[0.0002600758,0.0003459535,0.000387842,0.000439512,0.0001804835,0.0002921687,0.0006938881,0.0006291749,0.0004869085],"category_scores_gemma":[0.0005470318,0.0002139651,0.0002214221,0.0002286767,0.0003450605,0.0006933684,0.0003014785,0.0004463432,0.0002543901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003712651,"about_ca_system_score_gemma":0.0002440852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003968694,"about_ca_topic_score_gemma":0.0007678436,"domain_scores_codex":[0.99968,0.00003286189,0.00001378125,0.00008073942,0.0001771514,0.00001531546],"domain_scores_gemma":[0.9997703,0.00009699517,0.00003917042,0.00001928746,0.00005338376,0.00002083425],"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":[0.00002724477,0.00001725148,0.0002113614,0.00007192033,0.000005634568,0.00005484936,0.0000151946,0.0006548998,0.98669,0.0004568956,0.0001130171,0.01168159],"study_design_scores_gemma":[0.000006452817,0.00008178862,0.0004129397,0.000003788947,0.00001130752,0.0002008261,0.000009192958,0.0237051,0.9729254,0.000141165,0.002482556,0.00001952766],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4746484,0.004350963,0.5107685,0.0005810824,0.0004043249,0.0002376002,0.0004800644,0.001882622,0.006646465],"genre_scores_gemma":[0.532289,0.002509383,0.4602876,0.0002605933,0.0001280674,0.0001671101,0.0002496869,0.00005829225,0.004050331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006938881,"threshold_uncertainty_score":0.002693713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089577153677893,"score_gpt":0.1941119130745213,"score_spread":0.1832161415377424,"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."}}