{"id":"W1897909748","doi":"10.1002/admi.201500153","title":"Large Modulation of Charge Transport Anisotropy by Controlling the Alignment of π–π Stacks in Diketopyrrolopyrrole‐Based Polymers","year":2015,"lang":"en","type":"article","venue":"Advanced Materials Interfaces","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; Priority Academic Program Development of Jiangsu Higher Education Institutions; National Natural Science Foundation of China","keywords":"Materials science; Lithography; Anisotropy; Transistor; Polymer; Nanocrystalline material; Homogeneous; Modulation (music); Charge (physics); Nanotechnology; Optoelectronics; Electrical engineering; Optics; Physics; Particle physics; Composite material; Voltage","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001257009,0.0001937014,0.0001248639,0.0001173232,0.0001463971,0.0003194164,0.0001744049,0.0001390134,0.0007556612],"category_scores_gemma":[0.0002264594,0.0001642772,0.00007130496,0.0001240515,0.0002549007,0.0003485765,0.0001468739,0.0003077842,0.0001712011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002322114,"about_ca_system_score_gemma":0.0001455132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001994313,"about_ca_topic_score_gemma":0.0004338992,"domain_scores_codex":[0.9999388,0.000007937457,0.000004350039,0.00001508716,0.00001684917,0.00001698582],"domain_scores_gemma":[0.9998386,0.0000656223,0.00005095962,0.00001378972,0.00001148861,0.00001956154],"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":[0.00007548426,0.00001912053,0.00008913656,0.00002605742,0.000002118701,0.00002925792,0.00002410708,0.0001748278,0.9970331,0.0002539465,0.00004280561,0.002230004],"study_design_scores_gemma":[0.00001963899,0.00008406297,0.0009409777,0.000002479508,0.000005484715,0.00004258885,0.00001246848,0.001610304,0.996627,0.00005552769,0.0005932685,0.000006231395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972915,0.0002692797,0.0009850875,0.00004954061,0.00001134207,0.000005287078,0.00002606129,0.00006827925,0.001293655],"genre_scores_gemma":[0.9986326,0.0002095665,0.0007423371,0.00001022462,0.000005073733,0.000004299284,0.00001550625,0.00001753276,0.0003627088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007556612,"threshold_uncertainty_score":0.002527952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007639474415167791,"score_gpt":0.2231823623624059,"score_spread":0.2155428879472381,"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."}}