{"id":"W1497498466","doi":"10.1016/j.snb.2006.01.026","title":"MoO3-based sensor for NO, NO2 and CH4 detection","year":2006,"lang":"en","type":"article","venue":"Sensors and Actuators B Chemical","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Methane; Molybdenum; Materials science; Analytical Chemistry (journal); Oxide; Sensitivity (control systems); Atmospheric temperature range; Optoelectronics; Chemistry; Environmental chemistry; Metallurgy; Electronic engineering; Engineering; Meteorology; Physics","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":[0.0001637581,0.0003566322,0.0003512299,0.0003279856,0.0003181752,0.000245185,0.0005703103,0.0007355665,0.0009861614],"category_scores_gemma":[0.0002292633,0.0002419201,0.0002562594,0.0001926109,0.0002517584,0.0002226389,0.0002878477,0.0004290461,0.0003434406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003893026,"about_ca_system_score_gemma":0.0003738564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002573273,"about_ca_topic_score_gemma":0.00700289,"domain_scores_codex":[0.9998703,0.00001050213,0.000007281542,0.00002663127,0.00005484769,0.00003044451],"domain_scores_gemma":[0.9999237,0.00001181207,0.000009957511,0.000008576489,0.00002835052,0.00001751545],"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":[0.0001122071,0.0000109592,0.0002407049,0.00003818098,0.000008645612,0.00003724645,0.000008409515,0.0000572063,0.9979709,0.00007534184,0.0001286781,0.001311429],"study_design_scores_gemma":[0.000005943928,0.00004344784,0.001123219,0.000002726773,0.00001015919,0.0000570447,0.000006116038,0.0009877866,0.9967968,0.00002060434,0.0009410298,0.000005196007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824927,0.00110512,0.01192815,0.0002198505,0.0001659631,0.00006122396,0.0005440183,0.0004891578,0.002993828],"genre_scores_gemma":[0.9805542,0.0005908768,0.01322211,0.0001602657,0.00002059848,0.00007352063,0.0005692218,0.0000306256,0.004778572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002573273,"threshold_uncertainty_score":0.005116522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00323163183135338,"score_gpt":0.1658376445958066,"score_spread":0.1626060127644532,"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."}}