{"id":"W2969354693","doi":"10.1002/admi.201970101","title":"Sensors/Biosensors: Nanocomposite of Nitrogen‐Doped Graphene/Polyaniline for Enhanced Ammonia Gas Detection (Adv. Mater. Interfaces 16/2019)","year":2019,"lang":"en","type":"article","venue":"Advanced Materials Interfaces","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; University of Toronto","funders":"","keywords":"Polyaniline; Materials science; Nanocomposite; Graphene; Heterojunction; Polyaniline nanofibers; Nanotechnology; Doping; Ammonia; Chemical engineering; Composite material; Polymer; Optoelectronics; Organic chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003798869,0.0004653588,0.0007728696,0.0001757721,0.0001835948,0.0001599514,0.0005381564,0.0001638646,0.0008633833],"category_scores_gemma":[0.00006304835,0.0004217923,0.00012651,0.0002098862,0.0002041069,0.0004784117,0.000193249,0.0000935605,0.0003353865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007838974,"about_ca_system_score_gemma":0.00003100111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002710391,"about_ca_topic_score_gemma":0.00008287387,"domain_scores_codex":[0.9971484,0.0001300611,0.001041012,0.0008266167,0.0002524469,0.000601461],"domain_scores_gemma":[0.9979151,0.0002051159,0.0008068308,0.0007178693,0.0002560445,0.00009907709],"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":[0.0006805862,0.00009441187,0.00002409915,0.000219539,0.00004164794,3.343887e-7,0.0002724015,0.0001494096,0.9963915,0.0001036552,0.00003661104,0.001985759],"study_design_scores_gemma":[0.001106526,0.0004154102,0.0000303608,0.0002267015,0.00005923791,0.00001347723,0.0004517888,0.00001359056,0.9954851,0.001156128,0.0005840149,0.0004576724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933847,0.0002987421,0.001565965,0.0001141402,0.002302282,0.00145869,0.0005039274,0.0002600389,0.000111509],"genre_scores_gemma":[0.9927729,0.00007734349,0.005852396,0.00004560743,0.0001262023,0.0002306216,0.00005200047,0.00008353731,0.0007594042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004286431,"threshold_uncertainty_score":0.9998234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008184100768987,"score_gpt":0.2627296812117164,"score_spread":0.2526478402040265,"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."}}