{"id":"W7119776796","doi":"10.7910/dvn/xlah3y","title":"Clean Air Status and Trends Network (CASNET)","year":2025,"lang":"","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pollutant; Air pollution; Air quality index; Air pollutants; Raw data; Criteria air contaminants; Clean Air Act; Sampling (signal processing); National Ambient Air Quality Standards","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":[0.001209116,0.001150959,0.001000002,0.003318192,0.0007881529,0.001846941,0.002229673,0.001447157,0.05400349],"category_scores_gemma":[0.006736842,0.0005243209,0.0006901099,0.007214,0.0002908128,0.001323887,0.001691656,0.001834763,0.05729827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623908,"about_ca_system_score_gemma":0.002658515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05773797,"about_ca_topic_score_gemma":0.06426146,"domain_scores_codex":[0.9988647,0.0001775855,0.000164804,0.0003218444,0.0003125373,0.0001585748],"domain_scores_gemma":[0.9976695,0.0004199217,0.0003627501,0.0004275781,0.0008651908,0.0002549869],"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":[0.00003184024,0.00001024743,0.001529024,0.0002107766,0.00001641175,0.00001504812,0.00001649559,0.0001681336,0.00003963855,0.0008769465,0.9952605,0.001825001],"study_design_scores_gemma":[0.0001251322,0.00001446238,0.009461699,0.0001890479,0.00002764973,0.00003976568,0.00006739978,0.0005062811,0.000171031,0.001213927,0.9881546,0.00002894207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001260661,0.00002769671,0.00004918679,0.00007102465,0.00001651224,0.000009569931,0.998925,0.00008769053,0.0006871929],"genre_scores_gemma":[0.0004371947,0.00003455874,0.0001772519,0.00003761497,0.0000101253,0.00006788868,0.9985704,0.00003351349,0.0006314337],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05773797,"threshold_uncertainty_score":0.1806597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122805960899198,"score_gpt":0.2544828241078183,"score_spread":0.2422022280178985,"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."}}