{"id":"W2510760800","doi":"10.1039/c6mh00230g","title":"Functional conductive nanomaterials via polymerisation in nano-channels: PEDOT in a MOF","year":2016,"lang":"en","type":"article","venue":"Materials Horizons","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Engineering and Physical Sciences Research Council; Isaac Newton Trust; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Cambridge Overseas Trust; Ras Al Khaimah Center for Advanced Materials; Alexander von Humboldt-Stiftung","keywords":"PEDOT:PSS; Materials science; Nanomaterials; Conductive polymer; Nanotechnology; Metal-organic framework; Electrical conductor; Nano-; Polymerization; Polymer; Chemistry; Composite material; Layer (electronics); Organic chemistry; Adsorption","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006992181,0.0002604391,0.0004179694,0.0002602286,0.000126938,0.0001260247,0.000233596,0.0001446861,0.005655376],"category_scores_gemma":[0.0001132336,0.0002014967,0.00004489183,0.0002794595,0.0001629216,0.0004296357,0.0001159606,0.00004350816,0.000678034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001560182,"about_ca_system_score_gemma":0.0001057723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009939658,"about_ca_topic_score_gemma":0.0001384499,"domain_scores_codex":[0.9977074,0.0002494724,0.0007090377,0.0005925649,0.0002329216,0.0005086259],"domain_scores_gemma":[0.9991016,0.0001431148,0.0002380946,0.0003767305,0.00005378525,0.00008663489],"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":[0.00009356991,0.0001072905,0.000146424,0.00001366855,0.000003743143,0.000006260039,0.0002838942,0.000003865537,0.9970513,0.001057849,0.0001327291,0.001099405],"study_design_scores_gemma":[0.0007050083,0.00007769861,0.001392494,0.0000621469,0.00000854772,0.00002553592,0.000200774,0.000001561908,0.9948906,0.002067823,0.0002792654,0.000288562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944986,0.00005898114,0.0005627134,0.00102955,0.002869877,0.0004566243,0.000227789,0.0001133558,0.0001825212],"genre_scores_gemma":[0.9981985,0.00001303654,0.0003251508,0.00005401125,0.0003698231,0.0004380515,0.00003235174,0.000036326,0.0005327353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004977342,"threshold_uncertainty_score":0.9952536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02659174652379378,"score_gpt":0.2504285430487917,"score_spread":0.2238367965249979,"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."}}