{"id":"W4386330154","doi":"10.5194/hess-2023-191-supplement","title":"Supplementary material to \"How does a warm and low-snow winter impact the snow cover dynamics in a humid and discontinuous boreal forest? An observational study in eastern Canada\"","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Snow; Snow cover; Boreal; Taiga; Environmental science; Physical geography; Climatology; Forest cover; Geography; Ecology; Meteorology; Geology; Forestry; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006726444,0.0007900873,0.0006134108,0.001753154,0.001368466,0.001554969,0.001425815,0.0007484027,0.4679263],"category_scores_gemma":[0.005592746,0.0004804478,0.0008333169,0.003482661,0.0002791204,0.0006149116,0.001032466,0.0005065763,0.07357247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003200501,"about_ca_system_score_gemma":0.008254522,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7723908,"about_ca_topic_score_gemma":0.8532198,"domain_scores_codex":[0.9996399,0.00002101572,0.00002688944,0.00005065985,0.0001265095,0.0001349866],"domain_scores_gemma":[0.9951695,0.001310155,0.0002344482,0.0004011087,0.002360029,0.0005248094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005459632,0.0000642712,0.006016198,0.000264129,0.00003465386,0.00006493932,0.0001175843,0.0008668614,0.0001936385,0.0005612892,0.9853006,0.006461308],"study_design_scores_gemma":[0.0005409901,0.00005634656,0.1928806,0.0004155874,0.00008955913,0.0001819505,0.001057747,0.003494209,0.001019646,0.003672742,0.7964857,0.0001049593],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002802831,0.00004359201,0.0003572025,0.0003564033,0.000195863,0.00005584528,0.9905572,0.0003565305,0.005274445],"genre_scores_gemma":[0.01996227,0.0002114326,0.002382501,0.0003399073,0.0001562596,0.0002097644,0.9356175,0.0007622284,0.0403582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4679263,"threshold_uncertainty_score":0.7589386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04265548669651668,"score_gpt":0.2736202969691556,"score_spread":0.230964810272639,"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."}}