{"id":"W1983452926","doi":"10.1007/s11664-013-2785-7","title":"Composite Semiconductor Material of Carbon Nanotubes and Poly[5,5′-bis(3-dodecyl-2-thienyl)-2,2′-bithiophene] for High-Performance Organic Thin-Film Transistors","year":2013,"lang":"en","type":"article","venue":"Journal of Electronic Materials","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Xerox (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carbon nanotube; Materials science; Thin-film transistor; Semiconductor; Chemical engineering; Nanotechnology; Composite number; Polymer; Layer (electronics); Nanotube; Thin film; Dielectric; Field-effect transistor; Electron mobility; Transistor; Composite material; Optoelectronics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001080024,0.0002450796,0.0001862213,0.0003805894,0.0002673793,0.0002706148,0.0002881014,0.0004253762,0.001120001],"category_scores_gemma":[0.00009818841,0.0002168558,0.0001791832,0.0002112262,0.00008377223,0.0003193107,0.00009307871,0.0003013708,0.0003020194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002632408,"about_ca_system_score_gemma":0.0002139646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002563017,"about_ca_topic_score_gemma":0.001261606,"domain_scores_codex":[0.9999378,0.000005341813,0.000003419657,0.0000198382,0.00002160132,0.00001202769],"domain_scores_gemma":[0.9999315,0.00001116597,0.000007995166,0.000004561538,0.000024691,0.00002012555],"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":[0.00003991173,0.00001529125,0.00002971625,0.0000328673,0.000004384071,0.00001905157,0.000003843184,0.00008281836,0.9988337,0.000113464,0.00005058517,0.0007743126],"study_design_scores_gemma":[0.00001485784,0.0001266889,0.0006058834,0.000003772599,0.00001722556,0.00005798787,0.000006417659,0.001541788,0.9965907,0.0000380869,0.0009922158,0.000004317563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753155,0.00316588,0.01685686,0.0001462797,0.0002987176,0.00007834891,0.0003355412,0.0003155186,0.00348741],"genre_scores_gemma":[0.9865671,0.0007612733,0.009113182,0.00003830813,0.00002405121,0.00005042924,0.0002085002,0.00003002725,0.003206999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001120001,"threshold_uncertainty_score":0.003746748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004012173392620564,"score_gpt":0.1768614535559932,"score_spread":0.1728492801633726,"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."}}