{"id":"W848584489","doi":"10.1016/j.chemosphere.2015.06.070","title":"Changes in the levels and variability of halocarbons and the compliance with the Montreal Protocol from an urban view","year":2015,"lang":"en","type":"article","venue":"Chemosphere","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of California, Irvine; Ministry of Science and Technology, Taiwan; Industrial Technology Research Institute; National Science Council","keywords":"Environmental science; Percentile; Sampling (signal processing); Atmosphere (unit); Atmospheric sciences; Meteorology; Passive sampling; Climatology; Environmental chemistry; Chemistry; Geography; Statistics; Mathematics; Physics; Engineering; Telecommunications","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":[0.003841928,0.0003147511,0.0001889938,0.002108555,0.002654829,0.001433819,0.001831454,0.0006167294,0.005655675],"category_scores_gemma":[0.01314502,0.0003155635,0.0005240033,0.003015371,0.000744035,0.0005290413,0.001040033,0.0007143108,0.0005159756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01779537,"about_ca_system_score_gemma":0.04194541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9257796,"about_ca_topic_score_gemma":0.9574744,"domain_scores_codex":[0.9963961,0.0008097495,0.000248132,0.0004129834,0.001284578,0.0008484685],"domain_scores_gemma":[0.9892665,0.0008157195,0.001531698,0.0006312102,0.00643283,0.001322058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008149469,0.0004877477,0.810562,0.0004727007,0.0002620988,0.000634455,0.006148179,0.002507768,0.006348657,0.01025457,0.1013116,0.06019528],"study_design_scores_gemma":[0.00001277413,0.0001142345,0.9712595,0.00004240088,0.00002139335,0.00002912711,0.0009096529,0.0003947723,0.0006918249,0.0001096707,0.02637072,0.00004384937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7815726,0.001045015,0.007103192,0.007914316,0.0004963899,0.006506349,0.07876202,0.0004808761,0.1161193],"genre_scores_gemma":[0.9290816,0.0004333218,0.00635749,0.001001362,0.00007011523,0.00417247,0.01197523,0.0000657614,0.04684265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9257796,"threshold_uncertainty_score":0.1493149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03724660005988007,"score_gpt":0.2484670860496402,"score_spread":0.2112204859897601,"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."}}