{"id":"W3091305077","doi":"10.1002/smsc.202000015","title":"Interface Engineering in Organic Electronics: Energy‐Level Alignment and Charge Transport","year":2020,"lang":"en","type":"article","venue":"Small Science","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Organic semiconductor; Electronics; Interface (matter); OLED; Heterojunction; Organic solar cell; Organic electronics; Materials science; Optoelectronics; Nanotechnology; Diode; Engineering physics; Stack (abstract data type); Semiconductor; Fabrication; Electrical engineering; Computer science; Physics; Engineering; Voltage; Transistor; Layer (electronics); Polymer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001711776,0.0001332826,0.0001248743,0.00006112605,0.0000345052,0.00002738965,0.0002644318,0.00003875909,0.00006343446],"category_scores_gemma":[0.00001355216,0.0001410419,0.00001530835,0.0005959168,0.00003542602,0.0001086986,0.00003538128,0.0001769626,0.000006969428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001488008,"about_ca_system_score_gemma":0.0000887768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002095236,"about_ca_topic_score_gemma":0.0001432471,"domain_scores_codex":[0.9989715,0.000003049349,0.0001542431,0.0002543724,0.0001465804,0.0004702094],"domain_scores_gemma":[0.9997015,0.00001060432,0.00001202999,0.0001095681,0.00001268124,0.000153635],"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":[0.0000022308,0.000006595606,0.0004070382,0.00002588823,0.00000481414,0.000004034849,0.0005808963,0.001850494,0.9944679,0.002091002,0.00001367566,0.0005454339],"study_design_scores_gemma":[0.0002459602,0.00009506271,0.0008352326,0.00001735428,0.000004393904,0.000006261952,0.00001720066,0.09835209,0.8946903,0.00006621833,0.005435648,0.0002343324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989527,0.001388542,0.008199623,0.000177062,0.00008081689,0.00007988651,0.000003585287,0.0001353461,0.0004081073],"genre_scores_gemma":[0.9991459,0.0004822125,0.000177888,0.0001042303,0.00002869719,0.000004967543,9.692204e-7,0.00002277404,0.00003241904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09977765,"threshold_uncertainty_score":0.5751522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036342248887661,"score_gpt":0.1805362866237445,"score_spread":0.1701728641348679,"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."}}