{"id":"W1752616092","doi":"10.1080/10789669.2011.579877","title":"PANDORA database: A compilation of indoor air pollutant emissions","year":2011,"lang":"en","type":"article","venue":"HVAC&R Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; U.S. Environmental Protection Agency","keywords":"Indoor air quality; Environmental science; Pollutant; Database; Indoor air; Air quality index; Particulates; Computer science; Environmental engineering; Meteorology; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000920789,0.002626179,0.002030707,0.005938096,0.0005101339,0.00172961,0.002746632,0.001013494,0.008895302],"category_scores_gemma":[0.002271671,0.0008203216,0.001678787,0.006301028,0.0002002631,0.001966576,0.001258021,0.0009101823,0.006440668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005506279,"about_ca_system_score_gemma":0.00169329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008574834,"about_ca_topic_score_gemma":0.006510219,"domain_scores_codex":[0.998993,0.0001367726,0.0002300605,0.0002654425,0.00031701,0.00005769449],"domain_scores_gemma":[0.9982908,0.0003888167,0.0002578346,0.0003963198,0.0005693008,0.00009683758],"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":[0.002082568,0.000848908,0.05780763,0.01250899,0.00179593,0.00153152,0.0004333276,0.1058944,0.01771046,0.00827837,0.45653,0.3345779],"study_design_scores_gemma":[0.0003601908,0.0004162445,0.04836583,0.0006020198,0.0008370486,0.001359508,0.0002739427,0.08154454,0.02055657,0.006221975,0.8390409,0.0004213162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01755202,0.001147476,0.03878358,0.0000944939,0.0001132219,0.0003055288,0.9048528,0.03013171,0.007019235],"genre_scores_gemma":[0.0329926,0.001204956,0.03545349,0.00006516822,0.00004880544,0.0006201674,0.9269626,0.001389312,0.0012629],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008895302,"threshold_uncertainty_score":0.0297578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3940881416977681,"score_gpt":0.4518868644245915,"score_spread":0.05779872272682346,"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."}}