{"id":"W2566149167","doi":"10.1016/j.scitotenv.2016.12.048","title":"Highly time-resolved characterization of water-soluble inorganic ions in PM2.5 in a humid and acidic mega city in Sichuan Basin, China","year":2016,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":110,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Chinese Academy of Sciences; Chongqing Science and Technology Commission; National Natural Science Foundation of China","keywords":"Sulfate; Inorganic ions; Aerosol; Nitrate; Environmental chemistry; Mass concentration (chemistry); Environmental science; Pollution; Acid rain; China; Air mass (solar energy); Ion; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006141816,0.00008504446,0.0001321515,0.00001307174,0.00007568839,0.00001052873,0.0003553871,0.00002953297,0.0005652459],"category_scores_gemma":[0.00002605665,0.00003915906,0.00002088729,0.0002290115,0.0009208426,0.0002146602,0.0001010152,0.00007265044,0.00001117384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002163766,"about_ca_system_score_gemma":0.00002721257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000616179,"about_ca_topic_score_gemma":0.00004300023,"domain_scores_codex":[0.9990621,0.00005338493,0.0002214142,0.0001933023,0.0002453842,0.0002244091],"domain_scores_gemma":[0.9996054,0.00003361734,0.00008177468,0.0002378758,0.000002544382,0.00003880959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002059108,0.00003528871,0.02209618,0.000004746579,0.000001189418,4.957391e-7,0.0005447976,0.001874628,0.974678,0.000004420642,7.515438e-7,0.0007389591],"study_design_scores_gemma":[0.0002003086,0.0000312286,0.6788876,0.00003466466,0.000002120137,0.000002030743,0.00003651757,0.000847548,0.3197688,0.000130832,0.000005795843,0.00005253664],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981451,0.00001922772,0.000006917126,0.00139535,0.00003938267,0.0001573002,0.00001299471,0.000002571023,0.0002211825],"genre_scores_gemma":[0.9994745,0.00003877569,0.00003078143,0.0000106311,0.000007716377,0.000001341487,0.000002734639,0.000001540996,0.0004320153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6567914,"threshold_uncertainty_score":0.6189046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005576544498070022,"score_gpt":0.1641884722323463,"score_spread":0.1586119277342762,"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."}}