{"id":"W4408221795","doi":"10.1038/s41598-025-92788-x","title":"Explainable AI analysis for smog rating prediction","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer science; Data science","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":[0.001276594,0.001025513,0.0007793204,0.001440292,0.0003625942,0.0006523121,0.0009057585,0.0007480505,0.00123796],"category_scores_gemma":[0.00413312,0.0002305362,0.00115635,0.0008091785,0.0003104302,0.0007487654,0.0004393608,0.001373809,0.0005715501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007681655,"about_ca_system_score_gemma":0.0007878105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01656958,"about_ca_topic_score_gemma":0.01615258,"domain_scores_codex":[0.9995172,0.0001209966,0.00002864664,0.0001200528,0.0001349932,0.00007818366],"domain_scores_gemma":[0.9981768,0.0009650668,0.0001976203,0.0001724629,0.0004264713,0.00006149682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001379114,0.0001951144,0.02265169,0.0001100692,0.0001703177,0.0001276212,0.00008114448,0.7808056,0.003005025,0.003724205,0.00564485,0.1833465],"study_design_scores_gemma":[0.000001909609,0.0000146046,0.001421802,0.000004199075,0.000006866144,0.000007738034,0.00000636812,0.9965732,0.0002812689,0.001307211,0.000370723,0.000004076561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1980906,0.001384416,0.7898198,0.0009059815,0.000252983,0.0001775168,0.001963225,0.003257966,0.004147496],"genre_scores_gemma":[0.9277719,0.0003006304,0.06633054,0.000178385,0.0001411706,0.00009807618,0.003093317,0.00008262812,0.002003368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01656958,"threshold_uncertainty_score":0.03294629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784661605961044,"score_gpt":0.2762540738930707,"score_spread":0.2584074578334602,"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."}}