{"id":"W4251653012","doi":"10.52002/0130-2906-2021-2-131-140","title":"Ozone Content over the Russian Federation in 2020","year":2021,"lang":"en","type":"article","venue":"Meteorologiya i Gidrologiya","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observatory; Russian federation; Meteorology; Quarter (Canadian coin); Ozone; Satellite; Environmental science; Remote sensing; Geography; Physics; Regional science; Astronomy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006677895,0.0002094978,0.0003074744,0.00001412503,0.0002689432,0.0001215798,0.0002914156,0.0001806736,0.008012097],"category_scores_gemma":[0.0002101633,0.0001272939,0.0001074205,0.0004288363,0.0001510947,0.0002052,0.00004428126,0.0003546211,0.0004818425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001096502,"about_ca_system_score_gemma":0.00007527128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001373506,"about_ca_topic_score_gemma":0.01196202,"domain_scores_codex":[0.997965,0.0004188755,0.0003803025,0.0004447557,0.0002556803,0.0005353816],"domain_scores_gemma":[0.9990804,0.0003253212,0.0001137506,0.0003690336,0.0000258941,0.00008559593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009310473,0.00004839639,0.9788046,0.000006229249,0.00003304058,0.0003573035,0.0001450582,0.002050699,0.0001976177,0.0008282742,0.00094904,0.01648664],"study_design_scores_gemma":[0.0005060327,0.0002049398,0.9836421,0.000004449168,0.00002008776,0.00005968905,0.000311486,0.006228815,0.0002230363,0.002501935,0.00611097,0.0001864852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707246,0.002111334,0.0002095415,0.00865091,0.0005088635,0.0002094911,0.000022078,0.00007837273,0.01748482],"genre_scores_gemma":[0.9927751,0.0004230705,0.0009248828,0.004989582,0.0001333378,0.00000856122,0.00009577676,0.000005075596,0.0006446221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0220505,"threshold_uncertainty_score":0.9928947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615004274274146,"score_gpt":0.2229741916911287,"score_spread":0.1968241489483872,"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."}}