{"id":"W2173187144","doi":"10.1002/anie.201510084","title":"Unraveling Inter‐ and Intrachain Electronics in Polythiophene Assemblies Mediated by Coordination Nanospaces","year":2015,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Core Research for Evolutional Science and Technology; Natural Sciences and Engineering Research Council of Canada; Queen's University; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Polythiophene; Polymer; Materials science; Conjugated system; Composite number; Side chain; Melting temperature; Polymer chemistry; Conductive polymer; Nanotechnology; Chemical engineering; Composite material","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":[0.00008285059,0.0001505551,0.00009336915,0.00008888746,0.0001552024,0.0003245352,0.0001230998,0.000117866,0.0004030049],"category_scores_gemma":[0.00007695118,0.0001182058,0.0000633991,0.00008572031,0.0003078284,0.0003520727,0.0001374549,0.0002475258,0.0001134376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001805046,"about_ca_system_score_gemma":0.0001519406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004384527,"about_ca_topic_score_gemma":0.001054783,"domain_scores_codex":[0.9999739,0.000003886129,0.000001326227,0.000006372446,0.00000657535,0.000008037922],"domain_scores_gemma":[0.99997,0.00001237053,0.000005535325,0.000004183275,0.000002567697,0.000005401523],"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":[0.00002401195,0.00001733419,0.0002412024,0.00004947012,0.000003343055,0.0001194134,0.00006411215,0.0008228765,0.9906428,0.002349238,0.00004951954,0.005616726],"study_design_scores_gemma":[0.000008181377,0.0000895975,0.001312451,0.000006258394,0.00001005555,0.0001562116,0.00004937226,0.009031564,0.9854176,0.0006756447,0.003234187,0.000008735356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904692,0.001117498,0.006760199,0.0000755142,0.00001014624,0.000007339648,0.00002248999,0.00006901971,0.001468607],"genre_scores_gemma":[0.9943724,0.0008205852,0.00397587,0.00001669973,0.000005978142,0.000007298216,0.00001347455,0.000007639572,0.0007802505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004384527,"threshold_uncertainty_score":0.001348197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428281405184683,"score_gpt":0.2513663525895307,"score_spread":0.2370835385376838,"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."}}