{"id":"W4232699530","doi":"10.5194/acp-2016-944","title":"Observations of Atmospheric Chemical Deposition to High ArcticSnow","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; University of Toronto; Government of Ontario","keywords":"Snow; Deposition (geology); Arctic; Scavenging; Environmental science; Aerosol; Atmospheric sciences; Climatology; Environmental chemistry; Oceanography; Meteorology; Chemistry; Geology; Geography; Geomorphology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001726715,0.0002739556,0.0001182071,0.0004785675,0.0007546501,0.0004130709,0.0001837812,0.0001170685,0.0008135572],"category_scores_gemma":[0.0002069992,0.0001264489,0.000115571,0.0004330953,0.0001482221,0.0001505452,0.0001951199,0.0001700165,0.0002242994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001341332,"about_ca_system_score_gemma":0.0008659541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3069622,"about_ca_topic_score_gemma":0.4985498,"domain_scores_codex":[0.9999088,0.000006903923,0.000003569766,0.0000282798,0.00003924592,0.00001319939],"domain_scores_gemma":[0.9998281,0.00001606332,0.00002955153,0.000008254687,0.00009184934,0.00002608943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002636219,0.00005382009,0.9123626,0.0001112886,0.0001203542,0.0001538162,0.0005875223,0.0009977149,0.07015365,0.0001251723,0.001019845,0.01405053],"study_design_scores_gemma":[0.000004124024,0.0000298481,0.988452,0.000009302916,0.00001324188,0.00003123452,0.0001617061,0.0007246701,0.008234993,0.00003018082,0.002305027,0.00000367018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942257,0.0003073267,0.0003060871,0.00002687902,0.00001840908,0.000009400627,0.00187796,0.00002647287,0.003201834],"genre_scores_gemma":[0.9963546,0.0002915101,0.0005260741,0.00002974932,0.0000113542,0.000007539789,0.001533005,0.00000731732,0.001238782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3069622,"threshold_uncertainty_score":0.610351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959192199552571,"score_gpt":0.2146943621652066,"score_spread":0.1951024401696809,"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."}}