{"id":"W4242996727","doi":"10.1142/9789814273022_0011","title":"BIOMOLECULAR SENSING USING CARBON NANOTUBES: A SIMULATION STUDY","year":2009,"lang":"en","type":"book-chapter","venue":"Selected topics in electornics and systems","topic":"Nanotechnology research and applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"","keywords":"Carbon nanotube; Nanotechnology; Materials science; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001446286,0.0002948979,0.0004229383,0.0004294306,0.00007458954,0.00006837706,0.0001159532,0.0005009333,0.000001457116],"category_scores_gemma":[0.00002919118,0.000323703,0.00003400101,0.0002820464,0.00002829334,0.00002480445,0.00002512801,0.0006356272,0.000001648691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002320266,"about_ca_system_score_gemma":0.0000788277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007826741,"about_ca_topic_score_gemma":0.0001606733,"domain_scores_codex":[0.9986424,0.00003187178,0.0004162082,0.0003415712,0.0002208494,0.0003471215],"domain_scores_gemma":[0.9993554,0.00004500856,0.00006493153,0.0003270003,0.0001446352,0.00006300108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001129272,0.0005877272,0.003330706,0.002104629,0.002577035,0.00116374,0.002075216,0.5223821,0.2588614,0.04840443,0.0002542307,0.1581459],"study_design_scores_gemma":[0.0004270001,0.0001620762,0.00005517772,0.0002236895,0.00005794382,0.00002800298,0.00002209176,0.9851728,0.000350164,0.001894768,0.01109468,0.0005116137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9025288,0.02746624,0.01119378,0.00005440329,0.000888833,0.006629611,0.0000503556,0.001522398,0.04966559],"genre_scores_gemma":[0.9952345,0.0002188468,0.00008496899,0.000003593643,0.0001769846,0.000008027533,0.00002283099,0.00007097447,0.004179291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4627907,"threshold_uncertainty_score":0.9999215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140736448702452,"score_gpt":0.2635647361081292,"score_spread":0.2421573716211047,"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."}}