{"id":"W7079999625","doi":"10.5281/zenodo.17049447","title":"Community-based nearshore wave and water level monitoring along the Nunavut coast of the Canadian Arctic Archipelago (2021-2023)","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; University of Alberta; Geological Survey of Canada; University of Waterloo; Nunavut Arctic College; Dalhousie University; Government of Canada; Institut National de la Recherche Scientifique; Université de Sherbrooke; Viventia Bio (Canada); Université du Québec à Rimouski","funders":"","keywords":"Archipelago; Arctic; Shore; Wave height; Significant wave height; Bathymetry; Water level; The arctic; Climate change","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":[0.0005928571,0.0005038432,0.0003282327,0.002377721,0.001365291,0.001261892,0.001291009,0.0004386828,0.002772715],"category_scores_gemma":[0.001896301,0.0002186098,0.0003980383,0.005716901,0.0003093616,0.0004438869,0.001276301,0.0005088074,0.0008373126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009198199,"about_ca_system_score_gemma":0.01465719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.987388,"about_ca_topic_score_gemma":0.9944941,"domain_scores_codex":[0.9992707,0.00003782963,0.00003801342,0.0001712991,0.000299052,0.0001831253],"domain_scores_gemma":[0.9972512,0.00008847811,0.0001832819,0.0001222673,0.0020094,0.000345261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001935978,0.0001292279,0.797963,0.0003741075,0.0002674157,0.0002382363,0.001328146,0.003535574,0.001345165,0.0008842901,0.1456062,0.04813514],"study_design_scores_gemma":[0.00002621961,0.00001914457,0.9444918,0.0002305176,0.00004252847,0.00005608194,0.002386447,0.004504863,0.0005135707,0.0001343055,0.04754231,0.0000522631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3485921,0.0008945683,0.001167838,0.0005793149,0.000116248,0.0002617034,0.6358221,0.0002994451,0.01226665],"genre_scores_gemma":[0.4651238,0.0008689153,0.006685127,0.0003267007,0.00003733491,0.0004237078,0.517727,0.00008985241,0.008717645],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01261204,"threshold_uncertainty_score":0.06673795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05129294851762008,"score_gpt":0.2346914496991646,"score_spread":0.1833985011815445,"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."}}