{"id":"W1991826233","doi":"10.1002/masy.200900165","title":"Preparation, Micro‐Patterning and Electrical Characterization of Functionalized Carbon‐Nanotube Polydimethylsiloxane Nanocomposite Polymer","year":2010,"lang":"en","type":"article","venue":"Macromolecular Symposia","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polydimethylsiloxane; Materials science; Nanocomposite; Carbon nanotube; Polymer; Composite material; Percolation threshold; Polymer nanocomposite; Electrical resistivity and conductivity; Fabrication; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000336272,0.0003040417,0.0004044008,0.0002174601,0.0001470809,0.0001400585,0.0002991372,0.0001967398,0.0002964239],"category_scores_gemma":[0.00004226558,0.0003123852,0.0001096541,0.0003486344,0.0002029667,0.0001718851,0.0001793287,0.0002313754,0.00001921737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003398565,"about_ca_system_score_gemma":0.0000815523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001792089,"about_ca_topic_score_gemma":0.00001273846,"domain_scores_codex":[0.9977967,0.0001852412,0.0005780956,0.0006029654,0.0004477385,0.0003892343],"domain_scores_gemma":[0.9987819,0.00009619728,0.0002877475,0.0005202123,0.0001758254,0.0001381754],"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":[0.0001620405,0.00009066914,0.006679042,0.00002721158,0.00003189205,0.0000149628,0.0002527913,0.000002376166,0.9913428,0.001072988,0.000007108827,0.000316084],"study_design_scores_gemma":[0.000658405,0.0001474788,0.008080074,0.00002863727,0.00007602037,0.0002155776,0.000002356161,0.0005996234,0.989179,0.00004679697,0.0006493936,0.0003166942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965336,0.0005939351,0.001022677,0.0001582181,0.0007280063,0.0003809519,0.00003243095,0.0001177315,0.0004325054],"genre_scores_gemma":[0.9974833,0.00001613834,0.001608291,0.0002082047,0.0001431235,0.0000442312,0.00008400354,0.0000511863,0.0003615438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00216389,"threshold_uncertainty_score":0.9999328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003695059044009017,"score_gpt":0.2283786503701332,"score_spread":0.2246835913261241,"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."}}