{"id":"W2941507793","doi":"10.1002/adma.201808256","title":"Toward Design of Novel Materials for Organic Electronics","year":2019,"lang":"en","type":"review","venue":"Advanced Materials","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":167,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Agence Nationale de la Recherche; European Commission; Baden-Württemberg Stiftung","keywords":"Materials science; Nanotechnology; Organic electronics; Electronics; Organic solar cell; Transistor; Photovoltaics; Identification (biology); Thin-film transistor; Computer science; Biochemical engineering; Photovoltaic system; Electrical engineering; Polymer; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006232801,0.001219343,0.005528766,0.0003271523,0.0001666037,0.0003814181,0.00233106,0.0006772912,0.004269263],"category_scores_gemma":[0.002527057,0.001008005,0.0003493832,0.0004114855,0.0002444756,0.0004987801,0.0005377221,0.0001914321,0.0007730817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000531234,"about_ca_system_score_gemma":0.001582341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001646238,"about_ca_topic_score_gemma":0.000001031607,"domain_scores_codex":[0.9922768,0.0007800594,0.002816178,0.001624262,0.001095374,0.001407362],"domain_scores_gemma":[0.9930514,0.001165084,0.003375411,0.00158661,0.0006687407,0.0001528307],"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":[0.0001278008,0.00009442671,1.077709e-8,0.0318715,0.00004476898,0.000002040919,0.00004549342,0.0003026911,0.9562774,0.001109066,0.0001815597,0.009943249],"study_design_scores_gemma":[0.0007629415,0.0004519903,9.578453e-8,0.005400063,0.0005756988,0.00006422604,0.000006986097,0.000009180719,0.6220264,0.0003311184,0.3693906,0.0009806405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008117359,0.8992343,0.07984744,0.00002086438,0.008899318,0.007494655,0.003261161,0.0003736247,0.00005690991],"genre_scores_gemma":[0.0001634925,0.9008935,0.09626187,0.00004939979,0.0004822209,0.001064602,0.0002841851,0.0003683215,0.0004323906],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3692091,"threshold_uncertainty_score":0.9992371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08101315956370493,"score_gpt":0.3573631223551741,"score_spread":0.2763499627914692,"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."}}