{"id":"W2795307422","doi":"10.1021/acs.jpcc.8b01396","title":"Molecularly Resolved Electronic Landscapes of Differing Acceptor–Donor Interface Geometries","year":2018,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Vetenskapsrådet; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Interface (matter); Acceptor; Materials science; Chemical physics; Photochemistry; Chemistry; Physics; Molecule; Organic chemistry; Condensed matter 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":[0.00009583821,0.0001463389,0.0001883797,0.0002059603,0.0001629617,0.0005141081,0.0002634713,0.0003022299,0.001500738],"category_scores_gemma":[0.0001815531,0.0001683053,0.00008792875,0.0001835482,0.0002656697,0.0003204611,0.0001699998,0.0004046635,0.0001231315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003025785,"about_ca_system_score_gemma":0.0000867463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003784883,"about_ca_topic_score_gemma":0.0005131828,"domain_scores_codex":[0.9999264,0.000007042297,0.00000356729,0.00002031313,0.00002438268,0.00001817118],"domain_scores_gemma":[0.9999187,0.00003075509,0.00001620029,0.000007909776,0.00001567745,0.0000106406],"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":[0.00008654309,0.00002521713,0.00101311,0.00002540192,0.000009584734,0.00004385912,0.00003975316,0.0006555428,0.9964842,0.0003289255,0.00004239425,0.001245416],"study_design_scores_gemma":[0.00004366817,0.0002605288,0.03002339,0.000005946762,0.00006230915,0.000239889,0.000277899,0.02716313,0.9403962,0.0005589611,0.0009477261,0.00002024677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984118,0.00009237664,0.0007796547,0.0000164362,0.000001985277,0.000003381053,0.00008065167,0.00002523535,0.0005884065],"genre_scores_gemma":[0.9989261,0.00007455434,0.0006890913,0.00001435487,0.000001624188,0.000006393927,0.00009293944,0.00000911105,0.0001857769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001500738,"threshold_uncertainty_score":0.00502044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003844342256213616,"score_gpt":0.207485269138852,"score_spread":0.2036409268826384,"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."}}