{"id":"W4206913804","doi":"10.1021/acsami.1c20143","title":"Insight into OTFT Sensors Using Confocal Fluorescence Microscopy","year":2022,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Queensland University of Technology; Australian Government","keywords":"Materials science; Optoelectronics; Doping; Confocal microscopy; Semiconductor; Microscopy; Organic semiconductor; Nanotechnology; Electrode; Optics; Chemistry","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":[0.0003667372,0.000401576,0.0003082546,0.0005295403,0.0002500558,0.0005337149,0.0006339215,0.0007013692,0.002667774],"category_scores_gemma":[0.0003841223,0.0003017765,0.0002696519,0.0002130941,0.0005014517,0.001278982,0.0003694519,0.0009202417,0.0007257554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006837695,"about_ca_system_score_gemma":0.0003813706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001275528,"about_ca_topic_score_gemma":0.001698588,"domain_scores_codex":[0.9997815,0.00002975466,0.00001013329,0.00004866313,0.00009095754,0.00003893143],"domain_scores_gemma":[0.999787,0.0001019427,0.00002238852,0.00001978447,0.00005211091,0.00001673104],"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":[0.00002787012,0.00002029701,0.000250166,0.0001731789,0.000005591839,0.0001609831,0.00006756122,0.0007573574,0.9828566,0.006190246,0.0003592437,0.009130918],"study_design_scores_gemma":[0.00000884086,0.0001093493,0.001450218,0.00004886358,0.000008882736,0.0007620382,0.0001435757,0.02386233,0.950339,0.004307621,0.01892333,0.00003595169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3193984,0.01524169,0.6317559,0.002575868,0.0001792093,0.000298546,0.001873255,0.001447498,0.02722963],"genre_scores_gemma":[0.5828437,0.01420443,0.3941162,0.0005525941,0.0000874956,0.0002265618,0.0006146525,0.0001304607,0.007223898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002667774,"threshold_uncertainty_score":0.008924603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268778469311828,"score_gpt":0.2826132301489541,"score_spread":0.2599254454558358,"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."}}