{"id":"W2082955168","doi":"10.3390/e17052749","title":"Detection of Changes in Ground-Level Ozone Concentrations via Entropy","year":2015,"lang":"en","type":"article","venue":"Entropy","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; York University","funders":"","keywords":"Ground Level Ozone; Ozone; Environmental science; Entropy (arrow of time); Ground level; Autoregressive model; Air quality index; Meteorology; Climate change; Atmospheric sciences; Econometrics; Mathematics; Engineering; Geology; Geography; Thermodynamics; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000321175,0.00008045728,0.0001301104,0.00003325703,0.00005034917,0.000008668819,0.00009191227,0.00005975167,0.000510212],"category_scores_gemma":[0.00008840286,0.00007737197,0.00001948326,0.0002000842,0.0001086791,0.0001655213,0.00004127028,0.00009886298,0.0002582928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003167327,"about_ca_system_score_gemma":0.00002344735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002119616,"about_ca_topic_score_gemma":0.003837375,"domain_scores_codex":[0.9990129,0.00009946513,0.0002074054,0.0001480753,0.0002631726,0.0002689187],"domain_scores_gemma":[0.999534,0.00003507165,0.00009980085,0.0001411807,0.000009680314,0.0001802939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008068145,0.00165989,0.353847,0.0001512143,0.00004456596,0.00003324535,0.02861263,0.003102287,0.4966655,0.01723036,0.01361639,0.08423005],"study_design_scores_gemma":[0.004385339,0.001328943,0.78416,0.00006028584,0.00003017503,0.00002238953,0.001808515,0.01573059,0.1189268,0.01254785,0.06044384,0.0005553055],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9589792,0.0001035278,0.03441343,0.004611822,0.0003478356,0.0003602077,0.0000151052,0.00003715818,0.001131722],"genre_scores_gemma":[0.9978625,0.00003278904,0.001137749,0.0006530905,0.00006885462,0.00001244029,0.000005869266,0.000006446872,0.0002202476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.430313,"threshold_uncertainty_score":0.5586464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07729497777568814,"score_gpt":0.3049411453360047,"score_spread":0.2276461675603166,"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."}}