{"id":"W3156138814","doi":"10.5194/essd-13-4331-2021","title":"Meteorological, snow and soil data (2013–2019) from a herb tundra permafrost site at Bylot Island, Canadian high Arctic, for driving and testing snow and land surface models","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Takuvik Joint International Laboratory; Université Laval; Makivik Corporation","funders":"Horizon 2020; Institut Polaire Français Paul Emile Victor; Fondation BNP Paribas; Natural Sciences and Engineering Research Council of Canada; European Commission; Compute Canada; BNP Paribas Cardif; University of Warwick","keywords":"Snow; Tundra; Permafrost; Arctic; Environmental science; Shortwave radiation; Snowmelt; Cryosphere; Climatology; Shortwave; Atmospheric sciences; Snow field; Geology; Sea ice; Meteorology; Radiative transfer; Geography; Snow cover; Radiation; Oceanography","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":[0.0003224224,0.0005083714,0.0002930067,0.001383189,0.001324345,0.0006121189,0.0006983295,0.0002881456,0.003312819],"category_scores_gemma":[0.0004644135,0.0001483027,0.0003361999,0.003076728,0.0002667694,0.0002027405,0.0003123218,0.0003485147,0.000935151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006742447,"about_ca_system_score_gemma":0.01549644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9823946,"about_ca_topic_score_gemma":0.9934015,"domain_scores_codex":[0.9997124,0.0000111954,0.00001439933,0.00004620751,0.0001385644,0.00007715252],"domain_scores_gemma":[0.9989362,0.00002743825,0.00008229352,0.00005789619,0.0007094683,0.0001866009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006055164,0.0005080771,0.7612836,0.0006857514,0.0004166712,0.001060645,0.001246847,0.01262599,0.00741188,0.0008907605,0.1707222,0.04254207],"study_design_scores_gemma":[0.00004876846,0.00003184359,0.9433075,0.00006355318,0.00004375238,0.00007218779,0.0007463093,0.004878171,0.0011126,0.00004248884,0.04961783,0.00003493617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5232955,0.0005222612,0.0006838393,0.000211507,0.00009368271,0.0001897827,0.4642481,0.0002998696,0.01045548],"genre_scores_gemma":[0.5099919,0.0004629746,0.00293188,0.0001205907,0.00003214653,0.0001687957,0.4785254,0.00007237504,0.007693839],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01760536,"threshold_uncertainty_score":0.04892009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09457380912833227,"score_gpt":0.2526655181698045,"score_spread":0.1580917090414722,"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."}}