{"id":"W4383499500","doi":"10.1021/acs.estlett.3c00386","title":"TROPOMI NO<sub>2</sub> Shows a Fast Recovery of China’s Economy in the First Quarter of 2023","year":2023,"lang":"en","type":"article","venue":"Environmental Science & Technology Letters","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Science, Technology and Innovation Commission of Shenzhen Municipality; National Natural Science Foundation of China","keywords":"Quarter (Canadian coin); China; Environmental science; Agricultural economics; Economy; Economics; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001012438,0.0002234692,0.0004389957,0.001263064,0.000142302,0.00002421638,0.001225371,0.0001474829,0.0001934154],"category_scores_gemma":[0.00003835959,0.0002317455,0.0001321948,0.0009623104,0.002157547,0.0004474783,0.0003205054,0.0002705376,0.001056694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003971448,"about_ca_system_score_gemma":0.00001140422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006918045,"about_ca_topic_score_gemma":0.00004855319,"domain_scores_codex":[0.9977895,0.00001613182,0.0008006475,0.0007320903,0.00008164971,0.0005799614],"domain_scores_gemma":[0.9985927,0.00004673322,0.0005354378,0.0007783607,0.000001437055,0.00004530841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003775414,0.000466969,0.6518945,0.0000451012,0.00007428502,0.00003017223,0.001134635,0.005246353,0.3122736,0.02250716,0.003868927,0.00242057],"study_design_scores_gemma":[0.001437719,0.0004415842,0.8856772,0.0000383866,0.00001286855,0.00002320335,0.001470459,0.002089837,0.08388831,0.01280697,0.01130981,0.0008037198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880341,0.00008513248,0.00009931926,0.006870628,0.0002071319,0.0002865505,0.00008489081,0.00003301466,0.004299197],"genre_scores_gemma":[0.9987918,0.0001876236,0.0001322119,0.0006949433,0.00002675104,0.00008980185,0.000009599719,0.00002137691,0.00004591986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2337827,"threshold_uncertainty_score":0.9997211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006212890953781381,"score_gpt":0.1662079489214499,"score_spread":0.1599950579676685,"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."}}