{"id":"W2951913532","doi":"10.1029/2019eo126433","title":"Banned CFC Emissions Tracked to Eastern China","year":2019,"lang":"en","type":"article","venue":"Eos","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Environmental science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008627143,0.0003404181,0.0001809915,0.0008397287,0.001273176,0.0008877217,0.0005666874,0.0005109897,0.00357629],"category_scores_gemma":[0.001155625,0.0001400007,0.0002539653,0.001319924,0.0004568636,0.0004165707,0.0004517798,0.0007427322,0.0003059586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004442357,"about_ca_system_score_gemma":0.01365183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7421188,"about_ca_topic_score_gemma":0.7967516,"domain_scores_codex":[0.9994736,0.00004039301,0.00002493026,0.0001093857,0.0001975999,0.0001541497],"domain_scores_gemma":[0.9981122,0.00007920694,0.0002482881,0.0001721086,0.00121716,0.000170929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004212084,0.000206276,0.746403,0.0004696737,0.0002807535,0.0007752092,0.001268847,0.004430427,0.03083128,0.02167962,0.1029204,0.09031334],"study_design_scores_gemma":[0.00002717221,0.00007785818,0.8418775,0.00005808064,0.0000669343,0.00006356758,0.0003512641,0.001741296,0.005131275,0.0004920184,0.1500713,0.0000416132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8270441,0.001813416,0.005347,0.00457043,0.000915945,0.0002892369,0.02704869,0.0006443965,0.1323267],"genre_scores_gemma":[0.9257769,0.0006453734,0.002803096,0.00206133,0.00009100151,0.0001120437,0.01152343,0.00005091973,0.05693595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7421188,"threshold_uncertainty_score":0.5187998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007924591441181498,"score_gpt":0.2027277601941899,"score_spread":0.1948031687530085,"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."}}