{"id":"W4312065842","doi":"10.1007/s11356-022-24790-z","title":"Comparison of sampling collection strategies for assessing airborne trichloramine levels in indoor swimming pools","year":2022,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; École de Technologie Supérieure; Université de Montréal","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Sampling (signal processing); Environmental science; Volumetric flow rate; Environmental engineering; Filter (signal processing); Pulp and paper industry; Computer science; Engineering; 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":[0.003951128,0.0006993355,0.0006956444,0.001107536,0.0006742994,0.0008736998,0.0009503473,0.0007287418,0.0004601526],"category_scores_gemma":[0.005975635,0.0005920852,0.0006273776,0.0006301233,0.0003515073,0.0005430019,0.0006713284,0.0003051068,0.0002299985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006507005,"about_ca_system_score_gemma":0.001369284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01226639,"about_ca_topic_score_gemma":0.03837734,"domain_scores_codex":[0.9965408,0.001368963,0.0003437084,0.0003920308,0.001096617,0.0002578652],"domain_scores_gemma":[0.9965522,0.001648922,0.000307361,0.0001822276,0.001177658,0.0001316198],"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":[0.01107256,0.00128183,0.3051638,0.001612761,0.0007452212,0.0003082216,0.004163103,0.004732206,0.4204443,0.0004719792,0.0007241443,0.2492798],"study_design_scores_gemma":[0.0002592398,0.02153154,0.6277338,0.0002803459,0.001477306,0.0009554874,0.004304463,0.01840431,0.3193144,0.0003837861,0.005171104,0.0001841233],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720712,0.001385238,0.02421471,0.00008649506,0.00004571678,0.0005174744,0.0002716058,0.00007857805,0.001328875],"genre_scores_gemma":[0.9315823,0.001731226,0.0634975,0.0001547242,0.00002298845,0.0005917367,0.000589339,0.00003992686,0.001790236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01226639,"threshold_uncertainty_score":0.02438998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1312497199057356,"score_gpt":0.4124611861643623,"score_spread":0.2812114662586267,"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."}}