{"id":"W2334090625","doi":"10.1557/proc-1054-ff05-06","title":"Performance and Modeling of a Nanostructured Relative Humidity Sensor","year":2007,"lang":"en","type":"article","venue":"MRS Proceedings","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"","keywords":"Materials science; Capacitive sensing; Relative humidity; Capacitance; Dielectric; Humidity; Amorphous solid; Optoelectronics; Electrode; Thin film; Composite material; Nanotechnology; Electrical engineering; Meteorology; Crystallography","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":[0.0001949888,0.0003280797,0.0005459884,0.0001852789,0.0003462021,0.0005661764,0.001149853,0.00115842,0.001876705],"category_scores_gemma":[0.0005523994,0.0003340116,0.0004301651,0.0002118064,0.0003790343,0.0007834653,0.0002729089,0.0002234743,0.0006364535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110842,"about_ca_system_score_gemma":0.0006516678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008171075,"about_ca_topic_score_gemma":0.004263819,"domain_scores_codex":[0.9997408,0.00003100459,0.000006905937,0.00006387311,0.000134453,0.00002302385],"domain_scores_gemma":[0.9998435,0.0000523529,0.00002016616,0.00002010264,0.00005312813,0.00001078185],"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":[0.000167265,0.00007949059,0.000948392,0.00009813008,0.00004768633,0.0002281584,0.00006760655,0.8921275,0.09429269,0.003302433,0.000831781,0.007808913],"study_design_scores_gemma":[0.000005899029,0.00004430204,0.0002530436,0.000001970541,0.000006655394,0.00002103265,0.000005033192,0.9917196,0.007303992,0.0001955984,0.0004372974,0.000005553021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6766137,0.001719928,0.2442169,0.001420266,0.0002112608,0.0001755437,0.001028863,0.0014633,0.07315032],"genre_scores_gemma":[0.9833074,0.0002495653,0.00776653,0.00007915553,0.00001880803,0.00004884986,0.0001065326,0.00004281967,0.00838053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008171075,"threshold_uncertainty_score":0.01624703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294327492425825,"score_gpt":0.2019524109451295,"score_spread":0.1890091360208713,"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."}}