{"id":"W4366506754","doi":"10.11159/iceptp23.149","title":"Optically Classified Aerosol Properties for Mersin - Erdemli","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aerosol; Computer science; Remote sensing; Environmental science; Geology; Meteorology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001841254,0.0003645497,0.0001769684,0.0009474904,0.0001633485,0.000298119,0.000252644,0.0002587763,0.001417079],"category_scores_gemma":[0.0003170167,0.00009896778,0.0003756534,0.0004017147,0.00006126427,0.0002183376,0.000152264,0.0001481061,0.0008972923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002526756,"about_ca_system_score_gemma":0.00009403411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002982463,"about_ca_topic_score_gemma":0.004521213,"domain_scores_codex":[0.9999002,0.000007400904,0.000006146528,0.00003945849,0.00003633124,0.00001038861],"domain_scores_gemma":[0.9998752,0.00001913824,0.00002546708,0.0000224609,0.0000490931,0.000008530403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007957575,0.0005444621,0.3149809,0.0001696961,0.0002966368,0.0002537042,0.0002328838,0.04584202,0.2976776,0.0007101893,0.004944094,0.333552],"study_design_scores_gemma":[0.00002923099,0.0002618105,0.6417835,0.00001066131,0.00006744664,0.000276536,0.0001306265,0.2870047,0.06617319,0.0001931337,0.004027892,0.00004124115],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758404,0.000141598,0.01711816,0.00002720424,0.00001615031,0.00006726349,0.002999058,0.001154148,0.002635976],"genre_scores_gemma":[0.9616051,0.00005932599,0.03030467,0.00002431828,0.000008425647,0.000056517,0.006397834,0.0000644185,0.001479348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002982463,"threshold_uncertainty_score":0.005930185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885951454316704,"score_gpt":0.2132551740363308,"score_spread":0.1943956594931638,"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."}}