{"id":"W2059553026","doi":"10.1109/icsens.2007.355500","title":"Capacitive Humidity Sensing using Carbon Nanotube Enabled Capillary Condensation","year":2006,"lang":"en","type":"article","venue":"","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Capacitive sensing; Carbon nanotube; Humidity; Materials science; Capillary action; Relative humidity; Capacitance; Condensation; Nanotechnology; Optoelectronics; Moisture; Nano-; Composite material; Electrical engineering; Meteorology; Electrode; Chemistry; Engineering","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":[0.0001318017,0.000343077,0.0001998714,0.0002742902,0.0001925138,0.0003116603,0.0005226643,0.0004050979,0.001403619],"category_scores_gemma":[0.0004360377,0.0001720543,0.0001860222,0.0002712436,0.0002432639,0.0005369341,0.0003058165,0.0002712498,0.0003652049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003648992,"about_ca_system_score_gemma":0.0001483963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006909483,"about_ca_topic_score_gemma":0.001355851,"domain_scores_codex":[0.9996791,0.00002717299,0.000009997822,0.00008554058,0.0001736805,0.00002458612],"domain_scores_gemma":[0.9998505,0.00005251984,0.00002713926,0.00001159868,0.00004433518,0.00001386143],"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":[0.00002364504,0.00001036618,0.00006136217,0.00004999115,0.000003753121,0.00006506409,0.00001361715,0.0002124663,0.9932017,0.0002185805,0.0002211626,0.005918247],"study_design_scores_gemma":[0.000005561685,0.00005806889,0.0002908447,0.000002620158,0.000004465706,0.000128654,0.000003571488,0.003175507,0.9936422,0.00004110611,0.00263817,0.000009280412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8590398,0.006823169,0.1107325,0.0008784016,0.0008058437,0.000315517,0.001045978,0.00151056,0.01884824],"genre_scores_gemma":[0.9489121,0.002136601,0.03942074,0.0002499123,0.0001260385,0.00007868805,0.0003661387,0.00005037394,0.008659509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001403619,"threshold_uncertainty_score":0.004695594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203958768475917,"score_gpt":0.1878574132507565,"score_spread":0.1758178255659974,"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."}}