{"id":"W4390468218","doi":"10.3390/buildings14010102","title":"Evaluating Indoor Air Quality Monitoring Devices for Healthy Homes","year":2023,"lang":"en","type":"article","venue":"Buildings","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Indoor air quality; Usability; Computer science; Air quality index; Quality (philosophy); Ventilation (architecture); Environmental science; Engineering; Human–computer interaction; Environmental engineering; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002699065,0.000157326,0.0002057164,0.0000543184,0.0005243101,0.00004541256,0.0002605272,0.00007832819,0.00003927712],"category_scores_gemma":[0.0006523362,0.0001549468,0.0000932028,0.0004692316,0.0000712023,0.0002357602,0.0002255393,0.0001349429,0.0002198919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001891808,"about_ca_system_score_gemma":0.00001522694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004916835,"about_ca_topic_score_gemma":0.000008521895,"domain_scores_codex":[0.9980949,0.00008224523,0.0003836688,0.0004319023,0.0004614996,0.0005457596],"domain_scores_gemma":[0.9989011,0.0005433328,0.0001909258,0.0002157252,0.00001900348,0.000129956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007530012,0.00004089355,0.7381903,0.0001950424,0.00001968823,0.000001707253,0.002269687,0.003436777,0.02076584,0.0001802807,0.001540907,0.2332836],"study_design_scores_gemma":[0.0009209359,0.0003467266,0.955631,0.0001659542,0.00002549731,0.000003325273,0.002465291,0.00434169,0.01304677,0.00168131,0.02078675,0.0005847882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969558,0.00005739593,0.0005228444,0.0007905266,0.0006443955,0.0002952022,0.000007620754,0.0003810625,0.0003452242],"genre_scores_gemma":[0.9804649,0.000009896758,0.01823372,0.0000819428,0.0005123622,0.0001065055,0.000005063689,0.00002960474,0.000556012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2326988,"threshold_uncertainty_score":0.6318549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.161317897713558,"score_gpt":0.4302358180431693,"score_spread":0.2689179203296113,"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."}}