{"id":"W3080386564","doi":"10.5194/acp-21-6509-2021","title":"Chemical composition and source attribution of sub-micrometre aerosol particles in the summertime Arctic lower troposphere","year":2021,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"Natural Resources Canada; Max-Planck-Institut für Chemie; Max-Planck-Gesellschaft; Environment and Climate Change Canada; Natural Sciences and Engineering Research Council of Canada; Johannes Gutenberg-Universität Mainz; University of Toronto; Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research","keywords":"Aerosol; Atmospheric sciences; Troposphere; Particle (ecology); Environmental science; Soot; Arctic; Sulfate; Trace gas; Chemical transport model; Chemistry; Environmental chemistry; Climatology; Geology; Oceanography; Combustion","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001467825,0.0002240128,0.0001534209,0.0007269287,0.0006828708,0.0004574707,0.0001537175,0.0001798094,0.0004442808],"category_scores_gemma":[0.0001210459,0.0001258076,0.0001563631,0.000348803,0.0001493876,0.0001235569,0.0001342121,0.0001292473,0.0001061277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008390193,"about_ca_system_score_gemma":0.0003889392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1967374,"about_ca_topic_score_gemma":0.2383431,"domain_scores_codex":[0.9999374,0.000003617278,0.00000310535,0.00002330726,0.00001655565,0.00001603331],"domain_scores_gemma":[0.9999006,0.00001738629,0.00002041049,0.000004374079,0.00003503179,0.00002228226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003784274,0.00006645904,0.8217954,0.00005672667,0.0001081113,0.0002511903,0.0003860781,0.001114616,0.1658931,0.00008653745,0.0002901184,0.009573388],"study_design_scores_gemma":[0.000002323975,0.00001706058,0.9950945,0.000002288665,0.00001050497,0.00002770808,0.00009585092,0.0008796568,0.003624284,0.00001198079,0.0002306288,0.000003176764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990625,0.0001030683,0.0001164491,0.000005883058,0.000003169976,0.000002460806,0.0003421486,0.000008528787,0.0003557105],"genre_scores_gemma":[0.998863,0.00008369172,0.0002864762,0.000008483826,0.000003538663,0.000003037695,0.0005417909,0.000005884363,0.0002041072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1967374,"threshold_uncertainty_score":0.3911846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007630415164637736,"score_gpt":0.1939149712292966,"score_spread":0.1862845560646589,"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."}}