{"id":"W3037476109","doi":"10.1021/acsomega.0c01217","title":"Regioisomerically Pure 1,7-Dicyanoperylene Diimide Dimer for Charge Extraction from Donors with High Electron Affinities","year":2020,"lang":"en","type":"article","venue":"ACS Omega","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Saskatchewan","keywords":"Diimide; Perylene; HOMO/LUMO; Materials science; Electron acceptor; Electron affinity (data page); Heterojunction; Acceptor; Polymer solar cell; Dimer; Molecular orbital; Electron donor; Photochemistry; Chemical physics; Molecule; Chemistry; Optoelectronics; Solar cell; Organic chemistry; 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":[0.000318308,0.0003559517,0.0001650078,0.0001330686,0.0002022974,0.0001878798,0.0004853695,0.0002659307,0.004338586],"category_scores_gemma":[0.0002075405,0.0001521647,0.00007919036,0.0002296705,0.0001624559,0.0003120706,0.0001832007,0.0005248449,0.001001275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003473682,"about_ca_system_score_gemma":0.0002759963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003653837,"about_ca_topic_score_gemma":0.001232322,"domain_scores_codex":[0.9998821,0.00001343058,0.000005301722,0.0000388403,0.00003234948,0.00002807871],"domain_scores_gemma":[0.9999459,0.00001202106,0.000007354187,0.00001424188,0.00001094416,0.000009541725],"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":[0.00005318866,0.00001806373,0.00003370424,0.00005732989,0.000002070143,0.00002106317,0.0000182814,0.0000290321,0.9965954,0.0004867446,0.0003304485,0.002354646],"study_design_scores_gemma":[0.000007528608,0.00003002934,0.0001734591,0.000002832702,0.000003650725,0.00004684837,0.000008002331,0.0002362333,0.9963116,0.00003533374,0.00314244,0.000002040724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.921472,0.00257595,0.04385602,0.0003569465,0.0001533097,0.0002867067,0.001458484,0.0006177787,0.02922273],"genre_scores_gemma":[0.9706594,0.001475776,0.01279542,0.0001073928,0.00001749628,0.000174663,0.001355732,0.0001720663,0.01324208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004338586,"threshold_uncertainty_score":0.01451403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00975860363085546,"score_gpt":0.1967965985697513,"score_spread":0.1870379949388959,"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."}}