{"id":"W4390821613","doi":"10.1088/2058-8585/ad1e2b","title":"Inkjet-printed thin-film transistors using surfactant-based transition-metal dichalcogenide nanocomposites suspended in polymeric semiconductors","year":2024,"lang":"en","type":"article","venue":"Flexible and Printed Electronics","topic":"2D Materials and Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Nanocomposite; Semiconductor; Transition metal; Thin-film transistor; Nanotechnology; Pulmonary surfactant; Thin film; Optoelectronics; Composite material; Chemical engineering; Chemistry; Layer (electronics); Organic chemistry; 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":[0.0003656379,0.0002971722,0.0003535209,0.0002652211,0.0001743489,0.0002092483,0.0002196195,0.0001444714,0.0006544492],"category_scores_gemma":[0.00001112441,0.0002810624,0.0001064065,0.0005764326,0.0001192819,0.0002655216,0.00003218093,0.0002721718,0.00003794272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001830103,"about_ca_system_score_gemma":0.0003759871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004723275,"about_ca_topic_score_gemma":0.0001433904,"domain_scores_codex":[0.998041,0.0001206424,0.0004653019,0.0005818263,0.0002024193,0.0005887704],"domain_scores_gemma":[0.9994089,0.0001041771,0.00006669248,0.000260988,0.00004291188,0.0001163544],"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":[0.00007631459,0.00007315787,0.00002996699,0.0001150091,0.00002037514,0.00001174647,0.0004108484,0.002287159,0.9937755,0.002900082,0.00001593265,0.0002838583],"study_design_scores_gemma":[0.000373017,0.00008770496,0.00005772285,0.0001193409,0.00006454982,0.00004105885,0.00009594519,0.03133426,0.9647771,0.001023697,0.001696065,0.0003295588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911136,0.003590218,0.00356246,0.0004030678,0.0002677057,0.0003786072,0.00008154502,0.0003344072,0.0002683985],"genre_scores_gemma":[0.9983273,0.0001786326,0.001070873,0.0001317184,0.00005363925,0.00003529988,0.00007829279,0.00004940886,0.00007483218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0290471,"threshold_uncertainty_score":0.9999642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784397934611377,"score_gpt":0.2657339403968136,"score_spread":0.2478899610506998,"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."}}