{"id":"W2086890533","doi":"10.1029/2000jd900427","title":"Ozone climatology using interactive chemistry: Results from the Canadian Middle Atmosphere Model","year":2000,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":194,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Commonwealth Scientific and Industrial Research Organisation","keywords":"Mesopause; Ozone; Atmospheric sciences; Stratosphere; Environmental science; Climatology; Atmosphere (unit); Radiative transfer; Chemical transport model; Latitude; Middle latitudes; Mesosphere; Meteorology; Geology; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001131842,0.0002423052,0.0004624783,0.000002953639,0.0009207758,0.0002569156,0.0009678112,0.0001818709,0.01041082],"category_scores_gemma":[0.0006368993,0.0001562319,0.0002280581,0.0005516207,0.0005323673,0.0004740081,0.00003879772,0.001697817,0.0005278704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001050662,"about_ca_system_score_gemma":0.0013428,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.531938,"about_ca_topic_score_gemma":0.2891523,"domain_scores_codex":[0.9963742,0.0004702512,0.0006881995,0.0003591941,0.001096718,0.001011465],"domain_scores_gemma":[0.9963768,0.001780629,0.0002600618,0.0004285162,0.0004607373,0.0006932591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01422269,0.000810918,0.1496286,0.00008945345,0.001505135,0.002584877,0.009416254,0.4439934,0.001143188,0.0002113251,0.05209799,0.3242962],"study_design_scores_gemma":[0.002373641,0.0006703278,0.08990848,0.0003163073,0.0001106996,0.0001852321,0.004639876,0.8644371,0.0003397398,0.01369993,0.02273534,0.0005833279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736532,0.000737015,0.00002839097,0.001586165,0.0001077276,0.0001394595,0.0001927029,0.00001131581,0.023544],"genre_scores_gemma":[0.9934345,0.0002934664,0.003928778,0.0002568636,0.0006403554,7.755759e-7,0.00003076626,0.00001394788,0.001400585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4204437,"threshold_uncertainty_score":0.9904938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05596353307663712,"score_gpt":0.3009846576620157,"score_spread":0.2450211245853786,"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."}}