{"id":"W7108325740","doi":"10.5683/sp3/ceq4kf","title":"Total mercury, methylmercury, nitrogen, carbon, and sulfur concentrations in thermokarst lake banks in Old Crow Flats, Yukon, Canada","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Université Laval; Université du Québec à Rimouski","funders":"","keywords":"Thermokarst; Permafrost; Biogeochemical cycle; Hydrology (agriculture); Vegetation (pathology); Mercury (programming language); Sulfur; Groundwater; Erosion","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":[0.0002369726,0.0005845097,0.0005156393,0.001863485,0.0009917794,0.0009858105,0.0009645485,0.0004294255,0.004264357],"category_scores_gemma":[0.001056124,0.0002830793,0.0005360949,0.006400903,0.0003180305,0.0002628859,0.0007009191,0.0003346899,0.001319088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00678333,"about_ca_system_score_gemma":0.01136322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9709909,"about_ca_topic_score_gemma":0.984322,"domain_scores_codex":[0.9997205,0.00001417059,0.00003179907,0.00008096985,0.00006606652,0.00008649325],"domain_scores_gemma":[0.9989698,0.00006152548,0.0001148858,0.00005879016,0.0006794619,0.000115499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003785237,0.00006739209,0.6435962,0.001573638,0.0005404976,0.0003569325,0.0005483975,0.002056127,0.001055991,0.0006775462,0.329946,0.01920277],"study_design_scores_gemma":[0.0000929283,0.00001905586,0.8933489,0.0004010561,0.0001651668,0.000113681,0.001186522,0.001373385,0.0005680672,0.000174113,0.1024923,0.00006470955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04089855,0.0004573065,0.00008332118,0.0001094325,0.00001310163,0.0000185868,0.9571891,0.00006953059,0.001161095],"genre_scores_gemma":[0.106542,0.0005130982,0.0005546465,0.0001120413,0.000007146751,0.00009112377,0.8897777,0.00002727242,0.00237496],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0290091,"threshold_uncertainty_score":0.05835986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008973308514960187,"score_gpt":0.2392285826785695,"score_spread":0.2302552741636093,"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."}}