{"id":"W4226252408","doi":"10.1109/jflex.2022.3165140","title":"Self-Consistent Extraction of Mobility and Series Resistance: A Hierarchy of Models for Benchmarking Organic Thin-Film Transistors","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Flexible Electronics","topic":"Thin-Film Transistor Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Transistor; Contact resistance; Computer science; Thin-film transistor; Organic semiconductor; Optoelectronics; Materials science; Electronic engineering; Voltage; Electrical engineering; Nanotechnology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006413743,0.0005996307,0.0006191724,0.0006791151,0.0002523306,0.0006998001,0.001266293,0.0008403911,0.0007509478],"category_scores_gemma":[0.001836675,0.0002300487,0.0006239268,0.0006135979,0.0003642446,0.0009751423,0.000411613,0.0006465079,0.0002411275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004707239,"about_ca_system_score_gemma":0.0005322199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001462733,"about_ca_topic_score_gemma":0.001449383,"domain_scores_codex":[0.9997792,0.00006435542,0.00001384006,0.00002481257,0.00009295372,0.00002489473],"domain_scores_gemma":[0.9995957,0.000201471,0.00003700278,0.00006696646,0.00007792359,0.00002093243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004539524,0.00009260947,0.0009923287,0.0001945413,0.0000541827,0.0001186006,0.00006285014,0.9329881,0.01347969,0.03867011,0.0009554753,0.01234607],"study_design_scores_gemma":[0.000002107438,0.00001293874,0.0000661009,0.000006140782,0.000003345066,0.00000784703,0.000004211954,0.9953023,0.001036502,0.00329565,0.0002593922,0.000003374177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2836333,0.00242919,0.6891477,0.0005577671,0.0001107342,0.0001527941,0.001115614,0.001006564,0.02184633],"genre_scores_gemma":[0.9285086,0.001339737,0.06532735,0.00009953293,0.00005589221,0.0002551474,0.000990262,0.0001723896,0.003251132],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001462733,"threshold_uncertainty_score":0.003415406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193216189580714,"score_gpt":0.220524593070218,"score_spread":0.2085924311744109,"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."}}