{"id":"W1548376759","doi":"10.1016/j.dib.2015.06.017","title":"Sampling and composition of airborne particulate matter (PM 10 ) from two locations of Mexico City","year":2015,"lang":"en","type":"article","venue":"Data in Brief","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Particulates; Aerodynamic diameter; Environmental science; Sampling (signal processing); Environmental chemistry; Composition (language); Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004086465,0.0000430408,0.0001049238,0.00001256109,0.00002274834,0.00000643999,0.000137663,0.00002513641,0.0005356856],"category_scores_gemma":[0.0000464122,0.00004254864,0.000005004546,0.00007629139,0.0001337748,0.0002684433,0.000218026,0.00004727322,0.00005713519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003122269,"about_ca_system_score_gemma":0.00001144992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01562847,"about_ca_topic_score_gemma":0.001045635,"domain_scores_codex":[0.9993521,0.00005184583,0.000219295,0.0001478435,0.0001282956,0.0001006274],"domain_scores_gemma":[0.9994007,0.00006442032,0.00008287792,0.0003598311,0.000006097142,0.00008601217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006396666,0.00016193,0.9791418,0.00003386958,0.000007320119,8.339198e-7,0.00139038,0.002241605,0.001433888,0.0001356282,0.01186374,0.003525088],"study_design_scores_gemma":[0.0004010304,0.000022937,0.9867707,0.0000357942,0.000008260834,8.248138e-7,0.00004735037,0.006678979,0.001246067,0.001303778,0.003429264,0.00005495918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933171,0.00003766882,0.003705409,0.001949842,0.00002086321,0.0000893926,0.000562258,0.000004622809,0.000312846],"genre_scores_gemma":[0.993068,0.000006732931,0.005668803,0.0007283615,0.00001179836,0.000001189473,0.0005052062,0.000002822243,0.000007101796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01458283,"threshold_uncertainty_score":0.9909266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1437480048716336,"score_gpt":0.3655020014457241,"score_spread":0.2217539965740905,"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."}}