{"id":"W6969064988","doi":"10.5285/08fbe63d-fa6d-4a7a-b952-5932e3ab0452","title":"Gridded Global Surface Ozone Metrics data (1971-2015) for Atmospheric Chemistry Model Evaluation - version 2.4","year":2015,"lang":"en","type":"dataset","venue":"NERC Environmental Data Service","topic":"","field":"","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ozone; Metadata; Air quality index; Atmospheric chemistry; NetCDF; Deposition (geology); Ozone depletion","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":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","insufficient_payload"],"category_scores_codex":[0.003730468,0.001540499,0.001216111,0.00002583113,0.0003679937,0.0002660736,0.01333906,0.001370677,0.001879397],"category_scores_gemma":[0.0005533597,0.001742326,0.00012239,0.001444698,0.0001891047,0.003096327,0.01795994,0.0008844732,0.01070295],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005466507,"about_ca_system_score_gemma":0.001075756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002471688,"about_ca_topic_score_gemma":0.0008852021,"domain_scores_codex":[0.9881817,0.0003604187,0.001220968,0.004258488,0.004736004,0.001242471],"domain_scores_gemma":[0.9798157,0.0001951292,0.001305137,0.01775745,0.0001594,0.0007672128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005214259,0.00095825,0.00003090796,0.0005990373,0.0003271168,0.000009216442,0.00001278394,0.01954341,0.002042446,1.27624e-7,0.9754558,0.0004994738],"study_design_scores_gemma":[0.002587023,0.00004330404,0.00003727728,0.00006112749,0.001752745,0.00002079723,0.0001744173,0.4599791,0.00002948548,0.00002438348,0.5343232,0.0009670798],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003532412,0.002775085,0.0003165003,0.000147771,0.0007171824,0.002671361,0.9896021,0.0001606984,0.00007688102],"genre_scores_gemma":[0.0001740496,0.0007220821,0.01790487,0.0004855624,0.0005375546,0.00008358892,0.9797012,0.0002992149,0.00009185798],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4411326,"threshold_uncertainty_score":0.9999257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1257110877682663,"score_gpt":0.3487673062977232,"score_spread":0.2230562185294569,"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."}}