{"id":"W2085793585","doi":"10.1063/1.4742893","title":"Modelling of piezoresistive response of carbon nanotube network based films under in-plane straining by percolation theory","year":2012,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Icon; Citation; Computer science; Percolation threshold; Percolation (cognitive psychology); Search engine; Information retrieval; Piezoresistive effect; World Wide Web; Physics; Optoelectronics; Electrical resistivity and conductivity; 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":[0.0001468022,0.0004455485,0.000327858,0.0003942348,0.0002520271,0.0004628078,0.0008041502,0.001134304,0.00200596],"category_scores_gemma":[0.0004914192,0.0003012326,0.0006073753,0.0003247156,0.0004748305,0.0007843064,0.0002246157,0.0003540272,0.0002895697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006144008,"about_ca_system_score_gemma":0.0003985342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005897322,"about_ca_topic_score_gemma":0.0035801,"domain_scores_codex":[0.9998913,0.00001800292,0.000004400159,0.00002195604,0.00004330918,0.00002104466],"domain_scores_gemma":[0.9998605,0.0000810512,0.00001876529,0.000009402044,0.00002105863,0.000009225848],"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":[0.0001006259,0.00005220799,0.0008204503,0.0001898478,0.00003010235,0.000496637,0.00008363382,0.8894867,0.09548073,0.008730225,0.0009295476,0.003599464],"study_design_scores_gemma":[0.000004666436,0.0000142221,0.0003499485,0.000005201315,0.000004047158,0.00002246695,0.000007970394,0.9955583,0.003047019,0.0007531436,0.0002261934,0.000006896697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8056826,0.002908789,0.1348152,0.001453044,0.0001659927,0.0001925848,0.001955547,0.0007374183,0.05208875],"genre_scores_gemma":[0.9910821,0.0006482696,0.003486033,0.00002874396,0.00001202757,0.00006580581,0.0001493837,0.00004471418,0.004482975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005897322,"threshold_uncertainty_score":0.01172596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718049926105079,"score_gpt":0.2240941152058532,"score_spread":0.2069136159448024,"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."}}