{"id":"W2158256258","doi":"10.1109/imtc.2011.5944050","title":"Trace amount formaldehyde gas detection for indoor air quality monitoring","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Formaldehyde; Indoor air; Indoor air quality; Environmental science; Trace gas; TRACE (psycholinguistics); Environmental chemistry; Sick building syndrome; Waste management; Chemistry; Environmental engineering; Organic chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003817276,0.0001177954,0.0001198158,0.00003783666,0.00003944897,0.000005071209,0.0001189909,0.0001267416,0.00001065374],"category_scores_gemma":[0.00007437373,0.0001100243,0.00005299846,0.00006823763,0.00002409982,0.0001937775,0.00001980891,0.0001366161,0.00001172833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001062007,"about_ca_system_score_gemma":6.995161e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002327704,"about_ca_topic_score_gemma":0.00002031669,"domain_scores_codex":[0.9993635,0.000002715829,0.0001848045,0.00012471,0.0000670037,0.000257224],"domain_scores_gemma":[0.999685,0.00004727498,0.0000238213,0.0001818818,0.00002629136,0.00003572256],"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":[0.00002671973,0.00001655647,0.000711201,0.00008324272,0.00001983143,6.005158e-7,0.0001728685,0.0009448737,0.9244373,0.0003767077,0.00002330872,0.07318674],"study_design_scores_gemma":[0.0001824642,0.0000268348,0.00204678,0.000006243469,0.000004939512,0.000001711167,0.0002855897,0.001222799,0.9921809,0.002694224,0.001191719,0.0001557791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8571045,0.00005706855,0.138328,0.000009912035,0.0001930034,0.0001635568,0.000002612368,0.002123345,0.00201798],"genre_scores_gemma":[0.9718041,0.00002118313,0.02793729,0.000003510744,0.00005927316,0.00007743608,5.748989e-7,0.00002550888,0.00007110665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1146996,"threshold_uncertainty_score":0.448666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04204740668343219,"score_gpt":0.2647247707431276,"score_spread":0.2226773640596954,"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."}}