{"id":"W3065814340","doi":"10.5194/amt-13-4353-2020","title":"A global analysis of climate-relevant aerosol properties retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories","year":2020,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Horizon 2020 Framework Programme; U.S. Environmental Protection Agency; National Research Foundation of Korea; Generalitat de Catalunya; Academy of Finland; North-West University","keywords":"Aerosol; Environmental science; Earth's energy budget; Albedo (alchemy); Atmosphere (unit); Meteorology; Air quality index; Remote sensing; Atmospheric sciences; Geography; Radiation; Physics","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":[0.000381203,0.0003448451,0.0003012783,0.001102693,0.0002110645,0.0004781637,0.0001825482,0.0003565499,0.0003634194],"category_scores_gemma":[0.0002770646,0.0001034145,0.0005172698,0.001396433,0.000107282,0.0003552379,0.0003868632,0.0001635682,0.000186487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000327085,"about_ca_system_score_gemma":0.0002345541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01862239,"about_ca_topic_score_gemma":0.01911835,"domain_scores_codex":[0.9998747,0.00001495432,0.00000859086,0.00004908231,0.00002815014,0.00002457323],"domain_scores_gemma":[0.9998299,0.00002371264,0.00003382469,0.00003179742,0.00005336952,0.00002727812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002582293,0.0001956788,0.8880944,0.0001526482,0.0005613841,0.0004910112,0.0001917323,0.01696046,0.04865606,0.0003285691,0.003264111,0.04084561],"study_design_scores_gemma":[0.000009884394,0.00005451754,0.9845716,0.000007119028,0.00006429442,0.00005324169,0.0001086947,0.01138255,0.00219638,0.00004101726,0.001502182,0.000008491701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936249,0.0001006769,0.0005097616,0.00002927521,0.000008172729,0.00001196719,0.004979358,0.00007872101,0.0006570478],"genre_scores_gemma":[0.9745337,0.00008270845,0.001531506,0.00002085022,0.000009139494,0.00001562303,0.02344772,0.00002322262,0.0003353413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01862239,"threshold_uncertainty_score":0.03702801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03419338767804331,"score_gpt":0.2165847303477756,"score_spread":0.1823913426697323,"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."}}