{"id":"W2896152085","doi":"10.1002/aelm.201800621","title":"New Materials for Organic Electronics: Improved Properties to Tackle Application Challenges","year":2018,"lang":"en","type":"article","venue":"Advanced Electronic Materials","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Electronics; Nanotechnology; Organic electronics; Engineering physics; Transistor; Electrical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002097901,0.001032779,0.001026651,0.001164136,0.0008691347,0.002963839,0.001100736,0.002901193,0.01550494],"category_scores_gemma":[0.001867885,0.0005357256,0.0007312222,0.0007077199,0.001340999,0.005936492,0.002685745,0.005010498,0.0083003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306738,"about_ca_system_score_gemma":0.0009831599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00022472,"about_ca_topic_score_gemma":0.0005089248,"domain_scores_codex":[0.9991066,0.0001342077,0.0000527616,0.0001197618,0.0004101746,0.0001765186],"domain_scores_gemma":[0.9991094,0.0002607179,0.00008318497,0.00009330163,0.0002909539,0.0001624127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002198228,0.0002736868,0.0004233498,0.006135698,0.0001088449,0.000700839,0.0009245461,0.001721926,0.2131304,0.1827522,0.1743899,0.4192187],"study_design_scores_gemma":[0.0000332932,0.0001671901,0.0002067586,0.0003849578,0.00002600634,0.0003876326,0.0001550397,0.0008067843,0.02162078,0.02541391,0.9507554,0.00004237273],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02232001,0.6992927,0.07522292,0.08899364,0.03064199,0.0003055963,0.0007527501,0.001921487,0.08054893],"genre_scores_gemma":[0.156826,0.5572147,0.1205628,0.03226471,0.02055145,0.0006663617,0.001259115,0.001688967,0.1089659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01550494,"threshold_uncertainty_score":0.05186927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006941342318171332,"score_gpt":0.2151643633990383,"score_spread":0.2082230210808669,"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."}}