{"id":"W4391856724","doi":"10.3103/s1068373923120117","title":"Ozone Content over the Russian Federation in the Third Quarter of 2023","year":2023,"lang":"en","type":"article","venue":"Russian Meteorology and Hydrology","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Russian federation; Ozone; Environmental science; Content (measure theory); Meteorology; Geography; Regional science; Mathematics; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007935242,0.0003408569,0.0008539875,0.003198989,0.0002064126,0.0008793494,0.000297523,0.0003140494,0.0007537014],"category_scores_gemma":[0.0008233433,0.0001425726,0.0008598091,0.004812602,0.0001800802,0.0004075356,0.0003991866,0.0002554418,0.0001799566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237378,"about_ca_system_score_gemma":0.002327845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02081665,"about_ca_topic_score_gemma":0.01786133,"domain_scores_codex":[0.9995754,0.00007516512,0.00009801276,0.00008445362,0.0001161835,0.00005063785],"domain_scores_gemma":[0.9994583,0.0001106371,0.0002293099,0.00001359577,0.0001569189,0.00003126292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009383685,0.00007852353,0.1517596,0.09627351,0.00677926,0.0009140251,0.001473047,0.002017744,0.005888024,0.003601318,0.03236511,0.6979116],"study_design_scores_gemma":[0.00002578247,0.0003830658,0.5835614,0.01725872,0.005193795,0.001678432,0.001229632,0.0003311671,0.001752139,0.0003965992,0.3881435,0.00004570394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01544712,0.9803855,0.0000708752,0.0004821821,0.0002402127,0.000006546947,0.002137874,0.000009835408,0.001219767],"genre_scores_gemma":[0.1758059,0.8204858,0.000204151,0.0004032453,0.0002269365,0.00002189862,0.00230365,0.000006077347,0.000542297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02081665,"threshold_uncertainty_score":0.04139096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943611683432165,"score_gpt":0.2317043186200175,"score_spread":0.2122682017856959,"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."}}