{"id":"W4400032166","doi":"10.1117/12.3030839","title":"Detection and impact of stochastic anomalies in investigations of urban pollution","year":2024,"lang":"en","type":"article","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pollution; Computer science; Environmental science; Environmental planning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001243974,0.0000327446,0.00004766671,0.00004409374,0.0000159662,0.000005011211,0.00001727864,0.00001952598,0.00004063825],"category_scores_gemma":[0.00004231936,0.00002681661,0.00001741657,0.0001858053,0.0001049123,0.0000948679,0.00002038163,0.00003336919,0.000002750613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005873043,"about_ca_system_score_gemma":0.000005437176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002022047,"about_ca_topic_score_gemma":0.0001001993,"domain_scores_codex":[0.9996955,0.0000150734,0.0001081699,0.00006940702,0.00005952345,0.00005232621],"domain_scores_gemma":[0.9998905,0.00003103924,0.00002006255,0.00003706035,0.000001674931,0.00001965135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001941922,0.00005937789,0.5140005,0.0001150304,0.00002481786,0.000001041547,0.007540497,0.05425075,0.354753,0.001053877,0.00009068281,0.06809096],"study_design_scores_gemma":[0.00007403408,0.0001623488,0.8699065,0.00008340171,0.000008277932,0.000004002687,0.0003017642,0.1182012,0.009564097,0.001622189,0.00000619362,0.00006590701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924651,0.00004748811,0.00690034,0.00002067982,0.00003170616,0.00003654941,0.000002610348,0.00001412404,0.0004813482],"genre_scores_gemma":[0.9995454,8.358701e-7,0.0003644997,0.000001126694,0.000010137,0.000001487054,3.702963e-7,0.000002294537,0.00007383619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.355906,"threshold_uncertainty_score":0.3056744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163928470598992,"score_gpt":0.2695599870891045,"score_spread":0.2479207023831146,"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."}}