{"id":"W4200069836","doi":"10.5194/acp-2021-860","title":"Measurement Report: Interpretation of Wide Range Particulate Matter Size Distributions in Delhi","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Natural Environment Research Council; Indian Institute of Technology Delhi; Sight Research UK","keywords":"Particle-size distribution; Particle size; Scanning mobility particle sizer; Range (aeronautics); Aerosol; Environmental science; Monsoon; Particle number; Particulates; Atmospheric sciences; Particle (ecology); Ultrafine particle; Volume (thermodynamics); Meteorology; Geography; Materials science; Chemistry; Physics; Geology; Nanotechnology","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":[],"consensus_categories":[],"category_scores_codex":[0.0005365055,0.0007599787,0.0003803808,0.001559998,0.000958805,0.0009025692,0.001366578,0.0005358329,0.002641118],"category_scores_gemma":[0.0007559399,0.0002858396,0.0005019933,0.001952459,0.0002461634,0.0004121707,0.0007252877,0.0005115116,0.002019524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008230146,"about_ca_system_score_gemma":0.0008638132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03171753,"about_ca_topic_score_gemma":0.04348448,"domain_scores_codex":[0.999061,0.00007554307,0.00007369015,0.0002750565,0.0004210377,0.00009367263],"domain_scores_gemma":[0.999268,0.00008944812,0.00009170356,0.0001051113,0.0004013676,0.0000443411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005633109,0.0003862192,0.6999096,0.0009324654,0.0003387155,0.001786936,0.001906386,0.002244197,0.1585572,0.0004907921,0.02653762,0.1063465],"study_design_scores_gemma":[0.00003224008,0.0002626246,0.9413002,0.00002816925,0.0001176872,0.0006547081,0.0009424448,0.00184486,0.02808973,0.0001684412,0.02650918,0.00004978216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8571616,0.0007392235,0.02287148,0.000590107,0.0006175198,0.0007830746,0.07113028,0.002526564,0.04358013],"genre_scores_gemma":[0.9364106,0.0006134073,0.01983043,0.0004071463,0.0002055151,0.0006893246,0.03289039,0.0003797279,0.008573409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03171753,"threshold_uncertainty_score":0.06306583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05045975485856845,"score_gpt":0.3131047640261305,"score_spread":0.262645009167562,"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."}}