{"id":"W2990642224","doi":"10.1039/c9ta11285e","title":"Tuning terminal aromatics of electron acceptors to achieve high-efficiency organic solar cells","year":2019,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Northwest Territories","funders":"International Science and Technology Cooperation Programme; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Organic solar cell; Acceptor; Terminal (telecommunication); Electron acceptor; Fullerene; Materials science; Electron; Electron transfer; Energy conversion efficiency; Photochemistry; Optoelectronics; Chemistry; Organic chemistry; Computer science; Physics; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000342819,0.0001749808,0.0004170075,0.0000511337,0.00002053544,0.00004344512,0.0003352137,0.0001165649,0.0008461526],"category_scores_gemma":[0.00002615553,0.0001640934,0.00006463786,0.0001575868,0.00001102287,0.00008478431,0.00004191045,0.0002159167,0.00002067956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001254212,"about_ca_system_score_gemma":0.0000994238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002433924,"about_ca_topic_score_gemma":2.642257e-7,"domain_scores_codex":[0.9987281,0.00001641896,0.000617709,0.00009577905,0.0002417416,0.0003002679],"domain_scores_gemma":[0.9993083,0.00003504511,0.0002767511,0.0001994379,0.0000771354,0.0001033276],"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":[0.00004260191,0.00003616435,0.00001282223,0.0003141102,0.0000447411,0.000006695785,0.0001436989,0.001426239,0.9977307,0.000001694307,0.0002164166,0.00002407947],"study_design_scores_gemma":[0.0002831767,0.0002456093,0.0000242616,0.0001098791,0.00003546998,0.00009076377,0.00003660484,0.0001071298,0.9984584,0.00006066346,0.0003859169,0.0001620759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988736,0.00005995047,0.0003240628,0.00002063888,0.0004655731,0.00008140539,0.00001372496,0.00002096614,0.000140083],"genre_scores_gemma":[0.9990518,0.00008063183,0.0005018579,0.00001338067,0.0002224807,7.043013e-7,0.000002932591,0.00004263268,0.00008356938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00131911,"threshold_uncertainty_score":0.9264778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003146147629558726,"score_gpt":0.1875964479385205,"score_spread":0.1844503003089618,"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."}}