{"id":"W7100836996","doi":"","title":"Spatial Variability and Application of Ratios between BTEX in Two Canadian Cities","year":2011,"lang":"en","type":"article","venue":"","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"BTEX; Sampling (signal processing); Spatial variability; Volatile organic compound; Passive sampling; Pollution; Benzene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005141973,0.0003400962,0.0002779849,0.001370031,0.001242953,0.0008502108,0.0006930649,0.0002364814,0.0005914845],"category_scores_gemma":[0.001523176,0.0002898517,0.0002665859,0.002313011,0.0004222916,0.0002247834,0.000539656,0.0002490311,0.0001073342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01051848,"about_ca_system_score_gemma":0.006388503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9685056,"about_ca_topic_score_gemma":0.9849582,"domain_scores_codex":[0.9990946,0.00007261575,0.00003719228,0.0003206464,0.0003001446,0.0001748246],"domain_scores_gemma":[0.998358,0.000111683,0.0002292045,0.00008270474,0.001070531,0.0001478954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000162682,0.00002913952,0.9846275,0.00002532055,0.00007406466,0.0000915293,0.001087639,0.0005365018,0.003761895,0.0001055,0.0003896567,0.009108534],"study_design_scores_gemma":[0.000003112789,0.00001407763,0.9978085,0.000003100713,0.00001351265,0.0000312375,0.0006412841,0.0004547966,0.000548071,0.00000676148,0.0004689436,0.000006681648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980956,0.00006405739,0.0001331254,0.0000227282,0.000001934235,0.00001291597,0.0008029545,0.000007139609,0.0008596776],"genre_scores_gemma":[0.9980885,0.0000623752,0.0003090517,0.000009107901,0.000001573496,0.000007950031,0.001080785,0.000004138448,0.0004364991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03149444,"threshold_uncertainty_score":0.07631725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419642386028386,"score_gpt":0.2255777574553073,"score_spread":0.2113813335950235,"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."}}