{"id":"W2061970054","doi":"10.1088/0953-8984/15/32/203","title":"Nanopore sensors for nucleic acid analysis","year":2003,"lang":"en","type":"article","venue":"Journal of Physics Condensed Matter","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Nanopore; Nucleic acid; Macromolecule; DNA; Nanotechnology; Molecule; Nanometre; Biomolecule; Nanopore sequencing; Biophysics; Chemistry; Nucleic acid quantitation; Materials science; DNA sequencing; Biochemistry; Biology","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":[0.000665232,0.0005373532,0.0008399756,0.0006880561,0.000458617,0.0006588908,0.00115217,0.001560981,0.00380274],"category_scores_gemma":[0.000807242,0.0004318258,0.0005203325,0.0005824227,0.0006210707,0.001565584,0.000871955,0.001481198,0.002471105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007293053,"about_ca_system_score_gemma":0.0003069826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004174234,"about_ca_topic_score_gemma":0.0006540006,"domain_scores_codex":[0.999095,0.0001277937,0.00003496089,0.000158755,0.0005324789,0.00005095563],"domain_scores_gemma":[0.9997136,0.0001131837,0.00002769018,0.00003697737,0.00008480275,0.00002369693],"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":[0.0001710959,0.0001151105,0.0002982284,0.001940799,0.0000815228,0.0002412273,0.0001656349,0.003403716,0.7783599,0.0617342,0.01151259,0.1419759],"study_design_scores_gemma":[0.00004115578,0.0003310161,0.0005105775,0.000246939,0.00005710325,0.001094103,0.00007210435,0.02541151,0.5735136,0.02321286,0.3754073,0.0001016528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0356076,0.2611237,0.6448121,0.003859462,0.00376103,0.0005364107,0.00105021,0.003575217,0.04567427],"genre_scores_gemma":[0.2972778,0.1215504,0.5274895,0.003518503,0.0009623838,0.0006989649,0.001213122,0.0003016431,0.04698764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00380274,"threshold_uncertainty_score":0.01272148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054668566239381,"score_gpt":0.2132015517732146,"score_spread":0.2026548661108208,"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."}}