{"id":"W4408473224","doi":"10.5194/egusphere-egu25-31","title":"Developing a method for measuring mercury photoreduction in snow with a LED Solar Simulator ","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Snow; Mercury (programming language); Solar simulator; Simulation; Environmental science; Computer science; Meteorology; Electrical engineering; Engineering; Physics; Photovoltaic system","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008714757,0.0009267295,0.0005254278,0.0006814487,0.0004137563,0.0005090495,0.00121032,0.0008715089,0.001422175],"category_scores_gemma":[0.0009729813,0.0004932957,0.000706407,0.0007001748,0.0004131727,0.0005218519,0.0007828213,0.001129907,0.0009004428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007835381,"about_ca_system_score_gemma":0.0007115656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001286143,"about_ca_topic_score_gemma":0.002593799,"domain_scores_codex":[0.9990964,0.0001095314,0.00004907531,0.000215944,0.0004637108,0.00006546761],"domain_scores_gemma":[0.9995174,0.0001401685,0.00007185986,0.0000862751,0.0001569962,0.00002720728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003970835,0.00003088198,0.0007313301,0.0001871783,0.00001400877,0.00003995694,0.00005869767,0.0003467107,0.9925079,0.0001391572,0.00009448345,0.005809954],"study_design_scores_gemma":[0.000009610539,0.0003101984,0.001800222,0.00001345228,0.00002755405,0.00008479447,0.00003685269,0.004319545,0.9904842,0.00009332062,0.002803135,0.00001715075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3650665,0.003080791,0.6198457,0.0002373211,0.0003544446,0.001514942,0.001552661,0.003198677,0.005148963],"genre_scores_gemma":[0.5008485,0.003051568,0.4873853,0.0002321117,0.00004639181,0.002484695,0.001057867,0.0002680454,0.004625601],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001422175,"threshold_uncertainty_score":0.005684972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02700848449995949,"score_gpt":0.2819033120275323,"score_spread":0.2548948275275728,"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."}}