{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009899138,0.0009417369,0.001536904,0.0002476532,0.0002453722,0.0001462548,0.0006592051,0.0005240306,0.0003203731],"category_scores_gemma":[0.0003456816,0.0009988337,0.0002864061,0.0004958972,0.00008853117,0.0005886261,0.0001706606,0.0004553764,0.00001939797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005980014,"about_ca_system_score_gemma":0.0002638329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000634249,"about_ca_topic_score_gemma":0.00001924783,"domain_scores_codex":[0.9950712,0.0002011161,0.001518394,0.001025995,0.0004695775,0.001713697],"domain_scores_gemma":[0.9974422,0.0004054483,0.0003978451,0.001188228,0.0002130781,0.0003531573],"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":[0.0002456888,0.00007769834,0.00005462813,0.0004254712,0.0001916234,0.000001593568,0.0004357406,0.118283,0.8785993,0.000846544,0.0002606268,0.000578009],"study_design_scores_gemma":[0.001971822,0.0004635034,0.00001366021,0.0002035852,0.000206676,0.00002566761,0.0001036696,0.02043352,0.9643634,0.003529265,0.007698497,0.0009867646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947837,0.0007290247,0.001633311,0.00006513987,0.0005677198,0.001342635,0.0003016825,0.0005197248,0.00005703556],"genre_scores_gemma":[0.9890063,0.0002816075,0.008900621,0.0001183147,0.000857716,0.0001036929,0.0001226438,0.0003767342,0.0002323526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09784952,"threshold_uncertainty_score":0.9992462,"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."}}