{"id":"W3022171335","doi":"10.1002/poc.4077","title":"Lewis acids and bases as molecular dopants for organic semiconductors","year":2020,"lang":"en","type":"article","venue":"Journal of Physical Organic Chemistry","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canada Research Chairs; York University","keywords":"Lewis acids and bases; Dopant; Chemistry; Doping; Semiconductor; Organic semiconductor; Organic chemistry; Catalysis; Materials science; Optoelectronics","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":[0.0000573564,0.0001938832,0.0003425377,0.00001220096,0.00003253093,0.00003682421,0.0001994721,0.00008453437,0.000270553],"category_scores_gemma":[0.0001632514,0.0001813036,0.0001304774,0.0001751222,0.00002866942,0.0000988655,0.00004079707,0.0003894445,0.000006776888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000743397,"about_ca_system_score_gemma":0.0001173659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.373505e-7,"about_ca_topic_score_gemma":1.491585e-7,"domain_scores_codex":[0.9991515,0.000006313613,0.0002719928,0.000142923,0.0001835543,0.0002436944],"domain_scores_gemma":[0.9993555,0.00007852482,0.0000989359,0.0001133549,0.00008439423,0.0002692754],"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":[0.00001507087,0.00003124671,0.00002236186,0.0001692892,0.0001141244,0.00001775166,0.0001892125,0.00004538984,0.9985567,0.00002026563,0.00065455,0.0001640477],"study_design_scores_gemma":[0.0005852098,0.000169203,0.000005728324,0.00002713382,0.00009942702,0.00009143578,0.00007239752,0.00157533,0.9937055,0.0006129201,0.002862394,0.0001933234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981921,0.000655738,0.0004928972,0.0003380474,0.00005835188,0.00006157828,0.0000153174,0.00004364955,0.0001423034],"genre_scores_gemma":[0.9989074,0.00009863556,0.00009554821,0.0001945979,0.0006040085,9.721394e-7,0.000003592834,0.0000666369,0.00002858499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004851193,"threshold_uncertainty_score":0.7393346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005809710782104297,"score_gpt":0.203718630028952,"score_spread":0.1979089192468477,"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."}}