{"id":"W4298394624","doi":"10.1016/j.envpol.2022.120329","title":"Water-soluble iron in PM2.5 in winter over six Chinese megacities: Distributions, sources, and environmental implications","year":2022,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Megacity; Beijing; Environmental chemistry; Environmental science; Aerosol; Biogeochemical cycle; Chemistry; China; Atmospheric sciences; Geography; Geology; Ecology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.000180021,0.0003367275,0.0003004049,0.0009961064,0.0006367469,0.0003853264,0.0004536499,0.000300881,0.0005756859],"category_scores_gemma":[0.0002265411,0.0002422194,0.0002832361,0.001200584,0.0003215447,0.0002772297,0.0004222461,0.000178249,0.00007537561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009269349,"about_ca_system_score_gemma":0.0005267067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2017575,"about_ca_topic_score_gemma":0.2786588,"domain_scores_codex":[0.9998975,0.00001183206,0.000007686592,0.00003547621,0.00001640321,0.00003117627],"domain_scores_gemma":[0.9998252,0.0000178035,0.00004028125,0.00001091341,0.0000595884,0.00004628153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001372024,0.00002506243,0.9936255,0.00002345212,0.00008597347,0.0001147046,0.001019073,0.0001033225,0.002714622,0.00003955471,0.0001360077,0.001975572],"study_design_scores_gemma":[0.000001166244,0.000007110616,0.9994702,8.663106e-7,0.000009522228,0.00001676026,0.0002887135,0.00008563362,0.00006365644,0.000005598117,0.00004960123,0.000001280562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996725,0.0000406447,0.00001954457,0.0000115197,0.000001137171,0.000001546999,0.0001581978,0.000001101363,0.00009378629],"genre_scores_gemma":[0.9995298,0.00002499396,0.0000278676,0.000006231946,0.000002290629,0.000003181152,0.0002496865,8.627929e-7,0.0001551577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2017575,"threshold_uncertainty_score":0.4011664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003831088000210282,"score_gpt":0.1754031509947539,"score_spread":0.1715720629945436,"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."}}