{"id":"W4402557858","doi":"10.1021/acsestair.4c00125","title":"Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data","year":2024,"lang":"en","type":"article","venue":"ACS ES&T Air","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Office of Research and Development; U.S. Environmental Protection Agency","keywords":"Quality assurance; Quality (philosophy); Current (fluid); Computer science; Environmental science; Data science; Engineering; Electrical engineering; Operations management; External quality assessment; Physics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2608629,0.001081688,0.001698891,0.00322833,0.009365818,0.0212677,0.009933253,0.01878986,0.02721938],"category_scores_gemma":[0.330745,0.001766358,0.002264053,0.00272072,0.0116855,0.03294557,0.01893463,0.03060867,0.01083165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007019094,"about_ca_system_score_gemma":0.04475834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007499946,"about_ca_topic_score_gemma":0.008281128,"domain_scores_codex":[0.820095,0.0826686,0.01574554,0.01755371,0.05648015,0.007457039],"domain_scores_gemma":[0.4558426,0.2820323,0.01990891,0.0440366,0.1636696,0.03451006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001944748,0.0002281321,0.005113319,0.002771115,0.00009692388,0.0005505075,0.0092985,0.001088984,0.004904257,0.1153122,0.6377524,0.2226893],"study_design_scores_gemma":[0.00006536063,0.000115936,0.002026722,0.002562508,0.00002828503,0.0003931681,0.006560356,0.001511112,0.00128237,0.05373164,0.9316112,0.0001114374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003598061,0.006883353,0.0502397,0.9050816,0.01183071,0.0006966354,0.0006441083,0.0008023274,0.02022361],"genre_scores_gemma":[0.1609832,0.01592013,0.2470681,0.5141987,0.0212101,0.003691598,0.003563819,0.001916066,0.03144827],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2608629,"threshold_uncertainty_score":0.9114876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2027032104877716,"score_gpt":0.4044012745764757,"score_spread":0.2016980640887041,"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."}}