{"id":"W4403985978","doi":"10.1002/adma.202470349","title":"High Throughput Characterization of Organic Thin Film Transistors (Adv. Mater. 44/2024)","year":2024,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Ottawa","funders":"","keywords":"Materials science; Characterization (materials science); Throughput; Thin-film transistor; Nanotechnology; Thin film; Optoelectronics; Telecommunications; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003798811,0.0004952262,0.0003331609,0.0009682287,0.0005476309,0.0005960779,0.0004980666,0.0005742878,0.003197149],"category_scores_gemma":[0.0004731044,0.0002942432,0.0003939382,0.0005522096,0.0003087128,0.0005351815,0.0002213081,0.000568658,0.001307147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003861768,"about_ca_system_score_gemma":0.0001970863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008228853,"about_ca_topic_score_gemma":0.002013685,"domain_scores_codex":[0.9995748,0.0000274376,0.00002351641,0.0001029862,0.0002167176,0.00005450715],"domain_scores_gemma":[0.9996337,0.0001884209,0.00003450449,0.0000471665,0.00007952766,0.00001670574],"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":[0.00003017855,0.00002686761,0.0003043287,0.00003772657,0.00001045543,0.00006007614,0.00002999518,0.00007126718,0.99431,0.0001306186,0.0004754064,0.004513101],"study_design_scores_gemma":[0.000002859987,0.00004142795,0.00210195,0.000003057123,0.000008238606,0.0000923679,0.00001595931,0.0008502889,0.995002,0.00008207728,0.001792577,0.000007370699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8151787,0.007229594,0.1438522,0.001113854,0.0006896464,0.0005188083,0.009977742,0.003315427,0.01812401],"genre_scores_gemma":[0.8995664,0.004100865,0.07059503,0.0005260247,0.0001579905,0.0006454838,0.005203878,0.000320765,0.01888362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003197149,"threshold_uncertainty_score":0.01069558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004235605226525691,"score_gpt":0.197324804778425,"score_spread":0.1930891995518993,"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."}}