{"id":"W4389789252","doi":"10.1016/j.orgel.2023.106980","title":"Donor-acceptor polymeric inks with transition-metal dichalcogenide nanosheet suspensions for inkjet-printed thin-film transistors","year":2023,"lang":"en","type":"article","venue":"Organic Electronics","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Nanosheet; Materials science; Thin-film transistor; Inkjet printing; Nanotechnology; Acceptor; Transition metal; Transistor; Thin film; Optoelectronics; Inkwell; Chemistry; Organic chemistry; Layer (electronics); Composite material; Electrical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001270228,0.0003387642,0.0003822767,0.000163897,0.0002130256,0.00004145176,0.0002068274,0.0001598687,0.0002274029],"category_scores_gemma":[0.00004553499,0.0003219665,0.000111512,0.0007717054,0.00005362678,0.0001796548,0.00001430368,0.0002430892,0.00006189145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001741446,"about_ca_system_score_gemma":0.0001030671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001680319,"about_ca_topic_score_gemma":0.0003081207,"domain_scores_codex":[0.9983094,0.0000333376,0.0003322591,0.0003493238,0.0001817,0.0007939918],"domain_scores_gemma":[0.9993216,0.0001174972,0.00004828436,0.0003106969,0.00006244869,0.0001394444],"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":[0.00007250373,0.0000246984,0.000008247387,0.0000630306,0.0001726202,0.00001292431,0.0005460602,0.06751246,0.9296873,0.0006250606,0.0005489439,0.0007261025],"study_design_scores_gemma":[0.001927802,0.0005004318,0.000354589,0.00007223673,0.0002648983,0.0001043671,0.0003897708,0.02500283,0.9511834,0.0007867433,0.01823307,0.001179804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735186,0.0004397577,0.0227061,0.000243021,0.0004728604,0.0003483343,0.00005098839,0.001881248,0.0003390932],"genre_scores_gemma":[0.9973418,0.0003714823,0.001090547,0.0000887785,0.0001523246,0.00006465987,0.0002527479,0.0002052675,0.0004324089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04250963,"threshold_uncertainty_score":0.9999232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008001720742058922,"score_gpt":0.2036440752243544,"score_spread":0.1956423544822955,"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."}}