{"id":"W4248167874","doi":"10.5194/acp-2017-646-supplement","title":"Supplementary material to "Comparison and evaluation of anthropogenic emissions of SO<sub>2</sub>and NO<sub>x over China"","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"China; Environmental science; Chemistry; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006578991,0.0006955781,0.0003958142,0.001415957,0.0004609201,0.0009058996,0.0009231332,0.0006635326,0.611612],"category_scores_gemma":[0.004350293,0.0002954947,0.0004889514,0.002055381,0.0001972074,0.0009093349,0.0005776398,0.0004850509,0.169108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000886292,"about_ca_system_score_gemma":0.001338457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02030174,"about_ca_topic_score_gemma":0.03209054,"domain_scores_codex":[0.9996662,0.00002967184,0.00003392996,0.00005539862,0.0001523809,0.00006229911],"domain_scores_gemma":[0.9968541,0.0008830829,0.0001983873,0.0003473232,0.001562188,0.0001549541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001312758,0.0001020859,0.001829174,0.0004488159,0.00001954362,0.00006526298,0.0000442947,0.001613348,0.001497962,0.002760214,0.9734438,0.0180442],"study_design_scores_gemma":[0.0005343852,0.0001752996,0.03067438,0.0002524671,0.0000421729,0.0001675249,0.0003746011,0.008482124,0.007441524,0.02090949,0.9308461,0.00009997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003036494,0.00005274441,0.003278557,0.0004986605,0.000752696,0.0001627342,0.9632182,0.001462523,0.02753751],"genre_scores_gemma":[0.04474998,0.0002263943,0.02246928,0.00103561,0.000518634,0.0007059879,0.8511879,0.002254326,0.07685187],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.611612,"threshold_uncertainty_score":0.5539883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0487002807425416,"score_gpt":0.3212472418181377,"score_spread":0.2725469610755961,"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."}}