{"id":"W2047010887","doi":"10.1103/physrevlett.86.3670","title":"Metallic Conduction through Engineered DNA: DNA Nanoelectronic Building Blocks","year":2001,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":395,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Materials science; DNA; Thermal conduction; Base pair; Nanotechnology; Metal; Molecular electronics; Electronics; Molecule; Physics; Chemistry; Composite material; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001187592,0.0002153036,0.0003324464,0.00002112627,0.00006571192,0.00001445969,0.0001475758,0.00002926499,0.0000043516],"category_scores_gemma":[0.00005843997,0.0001760263,0.0002896046,0.0002382574,0.0000707482,0.000009694855,0.00004661616,0.0001295407,0.000006995497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000326336,"about_ca_system_score_gemma":0.0000137656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004578869,"about_ca_topic_score_gemma":0.000001335371,"domain_scores_codex":[0.9988874,0.00006260913,0.000182333,0.0004096992,0.0001518608,0.0003061367],"domain_scores_gemma":[0.9994333,0.00001226611,0.0001010391,0.0003582888,0.00004510533,0.00004995113],"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":[0.000006093761,0.00003858682,0.00001412647,0.00004746408,0.0001019597,0.000002833559,0.000002604241,0.00000608646,0.9956794,0.0001134435,0.002190123,0.001797281],"study_design_scores_gemma":[0.0001099611,0.00008473871,0.00001970012,0.0001620701,0.0002027963,0.00003017392,0.000001749945,0.00004934157,0.8483492,0.0001919514,0.1505383,0.000259975],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842768,0.007912689,0.00393607,0.003427917,0.00004560727,0.0002291638,0.000002559718,0.000070931,0.00009829411],"genre_scores_gemma":[0.970136,0.02094962,0.001656354,0.006667024,0.0004084082,0.00002723803,0.00006860225,0.00002321456,0.00006354952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1483482,"threshold_uncertainty_score":0.7178144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382576727257526,"score_gpt":0.2995071457032895,"score_spread":0.2856813784307142,"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."}}