{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004932311,0.0003065647,0.0002914934,0.001599019,0.0001858894,0.0005048087,0.0002657938,0.0002062936,0.0004086212],"category_scores_gemma":[0.0022035,0.000119133,0.0002692542,0.001066435,0.000312306,0.0005649425,0.0006685682,0.0002643535,0.0000737983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004061071,"about_ca_system_score_gemma":0.0003044246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00504288,"about_ca_topic_score_gemma":0.004930561,"domain_scores_codex":[0.9996376,0.00008224596,0.00002336551,0.00007766141,0.0001356126,0.00004346144],"domain_scores_gemma":[0.9990151,0.0005153168,0.0002529737,0.00007588184,0.0001039636,0.00003675507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006264945,0.0002572869,0.49922,0.0002080262,0.0003357829,0.0004474004,0.0006803586,0.1746112,0.06895781,0.01040965,0.00178939,0.2424566],"study_design_scores_gemma":[0.00001575087,0.0001353321,0.3812059,0.00001822869,0.0000422003,0.0001630256,0.0001783565,0.590849,0.01984247,0.006022939,0.001465834,0.00006086379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8273226,0.000206715,0.1680333,0.0001205266,0.00002002113,0.00005647771,0.001773252,0.0003103286,0.002156782],"genre_scores_gemma":[0.9870425,0.00006251679,0.01196185,0.000007325369,0.00001358735,0.00001669513,0.0006897093,0.000005982984,0.0001999578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00504288,"threshold_uncertainty_score":0.01002705,"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."}}