{"id":"W4401546383","doi":"10.5194/egusphere-2024-2445","title":"Snow thermal conductivity controls future winter carbon emissions in shrub-tundra","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Environmental science; Snow; Snowpack; Tundra; Permafrost; Atmospheric sciences; Climatology; Arctic; Downscaling; Greenhouse gas; Climate model; Climate change; Precipitation; Meteorology; Ecology; Geography; Geology","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":[0.000324212,0.0003264843,0.0002808695,0.0002534145,0.0003288817,0.0009246058,0.0003558004,0.0003584992,0.001656036],"category_scores_gemma":[0.0006114324,0.0001827347,0.000559383,0.000301771,0.0002907341,0.0004040999,0.0004203824,0.0002452135,0.0003126504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001381212,"about_ca_system_score_gemma":0.000592479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05104755,"about_ca_topic_score_gemma":0.03869744,"domain_scores_codex":[0.9998553,0.00003753768,0.00001018741,0.00004716625,0.00001465783,0.00003525531],"domain_scores_gemma":[0.9997781,0.00005235772,0.00005183817,0.00002049658,0.00005091102,0.00004633411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006648299,0.0001199109,0.8146428,0.00008972272,0.0005480878,0.0003119761,0.0001327613,0.1058078,0.0679893,0.000849824,0.0009366546,0.007906304],"study_design_scores_gemma":[0.0000379552,0.00008350841,0.8520138,0.00001209609,0.0001171282,0.0001025191,0.0002155191,0.1399533,0.005660451,0.0007741041,0.001002131,0.00002736466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984198,0.0001028519,0.0003427245,0.00005620439,0.000007024112,0.00000237832,0.000424214,0.00003401925,0.0006108693],"genre_scores_gemma":[0.9994091,0.00002311549,0.00008849089,0.0000145955,0.000001557974,0.000001862899,0.0002758235,0.00000765298,0.0001778648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05104755,"threshold_uncertainty_score":0.1015009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03930377472897743,"score_gpt":0.2646338546595028,"score_spread":0.2253300799305253,"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."}}