{"id":"W2293999363","doi":"10.1002/adfm.201504604","title":"Free‐Standing Functionalized Graphene Oxide Solid Electrolytes in Electrochemical Gas Sensors","year":2016,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alcohol Countermeasure Systems (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Materials science; Electrolyte; Graphene; Electrochemical gas sensor; Oxide; Detection limit; Electrochemistry; Conductivity; Chemical engineering; Acetone; Selectivity; Nanotechnology; Electrode; Organic chemistry; Chromatography; Catalysis","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":[0.0002265737,0.0004203099,0.0002562221,0.0003554152,0.0001429309,0.0004173844,0.0005437155,0.0006531564,0.000596131],"category_scores_gemma":[0.0002798519,0.0002777782,0.0001876254,0.0002780795,0.0002430729,0.0005534012,0.0002224354,0.0003878105,0.0003730744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002962075,"about_ca_system_score_gemma":0.0001632532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003311545,"about_ca_topic_score_gemma":0.001159299,"domain_scores_codex":[0.9997646,0.00004574026,0.00001723476,0.00004029018,0.0001060412,0.00002604567],"domain_scores_gemma":[0.999892,0.0000393642,0.00001687157,0.00001005666,0.00002655617,0.00001508094],"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":[0.00004024138,0.00001639867,0.00006565521,0.00008704109,0.000007260431,0.00006639963,0.00001234811,0.0002861462,0.9951428,0.000418455,0.0001038472,0.003753482],"study_design_scores_gemma":[0.000005445143,0.00006329771,0.0001590162,0.000006800979,0.000007167466,0.00004979356,0.000008487308,0.001564959,0.9952604,0.0001185566,0.002750761,0.000005329091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9014047,0.02733275,0.06104131,0.0006081658,0.0007484989,0.0001535176,0.0007651124,0.0006496385,0.007296293],"genre_scores_gemma":[0.9389982,0.006024174,0.04955955,0.0001484587,0.00006557458,0.00005535451,0.0004385573,0.00004650071,0.004663503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006531564,"threshold_uncertainty_score":0.002149105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005485380877325828,"score_gpt":0.1939265464099079,"score_spread":0.188441165532582,"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."}}