{"id":"W2022189415","doi":"10.1002/adma.201305981","title":"Record High Electron Mobility of 6.3 cm<sup>2</sup>V<sup>−1</sup>s<sup>−1</sup> Achieved for Polymer Semiconductors Using a New Building Block","year":2014,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":412,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Department of Biotechnology, Ministry of Science and Technology, India","keywords":"Ambipolar diffusion; Materials science; Acceptor; Block (permutation group theory); Polymer; Transistor; Electron mobility; Electron acceptor; Semiconductor; Crystallography; Nanotechnology; Electron; Optoelectronics; Physics; Condensed matter physics; Chemistry; Combinatorics; Organic chemistry; Nuclear physics","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":[0.0002587945,0.0004132653,0.0003452665,0.0002512864,0.0002619702,0.0006134505,0.0004550801,0.0005032499,0.005113237],"category_scores_gemma":[0.0003713254,0.000137065,0.0001688246,0.0003250383,0.000172619,0.0008537939,0.000222589,0.0004318239,0.002059986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002224408,"about_ca_system_score_gemma":0.0001615034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002087718,"about_ca_topic_score_gemma":0.0005200226,"domain_scores_codex":[0.9998974,0.00001010684,0.000007115982,0.00002504073,0.0000402716,0.00002004881],"domain_scores_gemma":[0.9998299,0.00005095645,0.00002390719,0.00002114897,0.00005330965,0.00002075537],"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":[0.00007781782,0.00002146218,0.0005378757,0.0001764686,0.00001777293,0.0002023401,0.00005210012,0.0001324211,0.9806542,0.0006599688,0.001483544,0.015984],"study_design_scores_gemma":[0.000006430115,0.0001265042,0.001268078,0.00001335359,0.00001816012,0.0005384044,0.00003211745,0.0005500499,0.9849522,0.0001409063,0.01234558,0.000008208101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9149297,0.01131456,0.04638951,0.001237805,0.0005190965,0.00006750638,0.002911958,0.001988488,0.02064138],"genre_scores_gemma":[0.9540464,0.004746933,0.02016663,0.000170789,0.00007317011,0.00004363869,0.002353975,0.000168441,0.01823014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005113237,"threshold_uncertainty_score":0.01710552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009826358968810643,"score_gpt":0.2362378156829866,"score_spread":0.226411456714176,"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."}}