{"id":"W2803484169","doi":"10.1039/c8nr01064a","title":"Efficient long-range electron transfer processes in polyfluorene–perylene diimide blends","year":2018,"lang":"en","type":"article","venue":"Nanoscale","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Secretaría de Estado de Investigación, Desarrollo e Innovación; Engineering and Physical Sciences Research Council; FP7 People: Marie-Curie Actions; King Abdullah University of Science and Technology","keywords":"Polyfluorene; Diimide; Perylene; Materials science; Electron transfer; Range (aeronautics); Photochemistry; Chemical engineering; Chemistry; Polymer; Copolymer; Molecule; Composite material; Organic chemistry","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":[0.00009672087,0.0003753479,0.0001092485,0.0001397245,0.0001149756,0.0002423821,0.0001997967,0.0001579618,0.001011547],"category_scores_gemma":[0.0001231046,0.0001156434,0.0001029723,0.0001754574,0.0001669123,0.0003929228,0.0001351921,0.0003222613,0.0001653775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003636826,"about_ca_system_score_gemma":0.00009242105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004595348,"about_ca_topic_score_gemma":0.0007104066,"domain_scores_codex":[0.9999251,0.00000449118,0.000003004853,0.00002851069,0.00002023784,0.00001864584],"domain_scores_gemma":[0.9999461,0.00001748721,0.00001706272,0.000004463489,0.000006596396,0.000008274452],"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":[0.00002874003,0.00002024975,0.0001368458,0.00002511936,0.000002594689,0.00004246926,0.00003225872,0.0001226289,0.9982139,0.0001209351,0.00001286932,0.001241324],"study_design_scores_gemma":[0.000003245859,0.00005672399,0.001394747,0.000002618075,0.000003344898,0.00003354087,0.00001448939,0.001223131,0.9968977,0.00002073668,0.0003471372,0.000002699204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977556,0.0002382636,0.001255599,0.000009547066,0.000003929048,0.000005486865,0.00004109783,0.00002414651,0.0006662807],"genre_scores_gemma":[0.9978297,0.0002403362,0.0009012365,0.000004303487,0.000001713445,0.000008865468,0.00005763649,0.00001475354,0.0009414908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001011547,"threshold_uncertainty_score":0.003383994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005542945065737015,"score_gpt":0.2054639924088157,"score_spread":0.1999210473430786,"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."}}