{"id":"W6959719105","doi":"10.1021/acs.est.3c01898.s005","title":"Anthropogenic\\nChloroform\\nEmissions from China Drive\\nChanges in Global Emissions","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Protocol; China; Greenhouse gas; Ozone layer; Atmospheric emissions; Ozone; Leakage (economics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003184237,0.0004955485,0.0001880255,0.0005509804,0.0004965772,0.000680176,0.0002255484,0.0002132266,0.001686213],"category_scores_gemma":[0.0003063576,0.0001890794,0.0007809537,0.001521467,0.0003994462,0.0005183677,0.0006530231,0.0002854178,0.0001747089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651115,"about_ca_system_score_gemma":0.002587508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1364673,"about_ca_topic_score_gemma":0.2404813,"domain_scores_codex":[0.9997874,0.00002161726,0.00001312794,0.00005016398,0.00007767327,0.00005004323],"domain_scores_gemma":[0.9998361,0.00001930806,0.00004003509,0.0000252534,0.00006539137,0.00001384986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001937924,0.00007245985,0.8674444,0.0004931881,0.0004452308,0.0009965416,0.001083344,0.01642419,0.03603253,0.007362094,0.006078473,0.06337376],"study_design_scores_gemma":[0.00001269533,0.00002664414,0.965363,0.0000262855,0.0001077922,0.00008894459,0.0002751343,0.007216752,0.007607316,0.0005118817,0.01873356,0.0000299831],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.974515,0.0005815756,0.004498755,0.0006160022,0.00005854574,0.00004837849,0.00408859,0.0001364549,0.01545669],"genre_scores_gemma":[0.9911494,0.0006185786,0.001245898,0.0001532064,0.00001821573,0.00003821651,0.003528083,0.00002940415,0.003218991],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1364673,"threshold_uncertainty_score":0.2713459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03858452330329723,"score_gpt":0.2585539625704881,"score_spread":0.2199694392671908,"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."}}