{"id":"W2921739574","doi":"10.14510/araj.2019.4229","title":"Air Quality comparison between two major cities in Romania: Timisoara vs Iasi","year":2019,"lang":"en","type":"article","venue":"Journal of the American Romanian Academy of Arts and Sciences","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitatea Politehnica Timisoara","keywords":"Environmental science; Air quality index; Quality (philosophy); Geography; 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":[0.0004601412,0.0002268486,0.0005456094,0.001188898,0.0006420736,0.0009870266,0.0003175908,0.0004882709,0.00208601],"category_scores_gemma":[0.0007058642,0.0001495258,0.0006983285,0.001474569,0.0003507309,0.0003456507,0.0006962067,0.0003344326,0.0003223117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000928032,"about_ca_system_score_gemma":0.0008677656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03438273,"about_ca_topic_score_gemma":0.05715713,"domain_scores_codex":[0.9996068,0.00009048409,0.00003896303,0.00009031244,0.00006045207,0.000113109],"domain_scores_gemma":[0.9996411,0.00006592846,0.00005834096,0.00003563317,0.000146205,0.00005270843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001105115,0.0002920476,0.9640294,0.0002887368,0.0003872315,0.0008586614,0.001429431,0.00207112,0.002980747,0.001060119,0.00337997,0.02211743],"study_design_scores_gemma":[0.00001609107,0.0001013495,0.9955325,0.00002628937,0.00004756914,0.0001439089,0.001570387,0.0003780868,0.0003015295,0.0000312771,0.001843366,0.000007626807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933825,0.0006288562,0.0001884012,0.0001180193,0.00003949887,0.00002319792,0.00118683,0.00001276905,0.00441992],"genre_scores_gemma":[0.9982446,0.000158531,0.0001408322,0.00004442849,0.00001532932,0.00001495461,0.0008507222,0.000006775049,0.0005238908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03438273,"threshold_uncertainty_score":0.06836522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0525395258688264,"score_gpt":0.3418416860469111,"score_spread":0.2893021601780847,"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."}}