{"id":"W3163337736","doi":"10.1016/j.envpol.2021.117190","title":"The atmospheric concentrations and emissions of major halocarbons in China during 2009–2019","year":2021,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Montreal Protocol; Environmental science; Global-warming potential; Chlorofluorocarbon; Beijing; Ozone; Atmospheric sciences; Greenhouse gas; China; Global warming; Climatology; Ozone depletion; Environmental chemistry; Ozone layer; Meteorology; Chemistry; Climate change; Geography; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.00005756084,0.00006318733,0.00007096774,0.000001437574,0.0002115595,0.00001691634,0.00004424426,0.00003091722,0.0006165566],"category_scores_gemma":[0.000008655688,0.00004811573,0.00002340488,0.00009664312,0.0001248885,0.00008886649,0.00001423223,0.00006644784,0.00002090812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009776742,"about_ca_system_score_gemma":0.00001688154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004379106,"about_ca_topic_score_gemma":0.0004090646,"domain_scores_codex":[0.9994348,0.00004358433,0.0001438451,0.0001215612,0.0001017063,0.0001544603],"domain_scores_gemma":[0.999783,0.00002217593,0.00004523517,0.00009902626,9.126068e-7,0.00004959666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001988921,0.00004150199,0.9693511,0.000005794578,0.00001302564,0.000013167,0.0003186959,0.003261517,0.02062889,0.00007847964,0.00007869437,0.006189277],"study_design_scores_gemma":[0.0002220453,0.00001776401,0.9940132,0.00000869964,0.000007443527,0.00001452796,0.0007094312,0.003469158,0.001041696,0.0001090454,0.0003296352,0.00005730558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950023,0.003074363,0.00001908963,0.000430676,0.00006798811,0.00006812927,0.00006058752,0.000005910179,0.001270907],"genre_scores_gemma":[0.997875,0.001180963,0.0002248317,0.00002907372,0.00001562379,7.188326e-7,0.00003583756,0.000001884732,0.0006360861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02466218,"threshold_uncertainty_score":0.6750863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002808100694517886,"score_gpt":0.1694741936399465,"score_spread":0.1666660929454286,"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."}}