{"id":"W6892085803","doi":"10.5061/dryad.pq788v9","title":"Data from: Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach","year":2018,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Alberta","funders":"","keywords":"Subarctic climate; Dissolved organic carbon; Normalized Difference Vegetation Index; Vegetation (pathology); Drainage basin; Land cover; Hydrology (agriculture); Productivity; Precipitation","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":[0.000286025,0.0002363113,0.0002090028,0.001366972,0.0002228777,0.0004522443,0.0001869677,0.0001672684,0.00185119],"category_scores_gemma":[0.0005453582,0.0001056993,0.000245063,0.002080604,0.0001340288,0.0001634962,0.0002854213,0.0001318344,0.0005064167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006674019,"about_ca_system_score_gemma":0.0005065162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05587454,"about_ca_topic_score_gemma":0.07397904,"domain_scores_codex":[0.9998729,0.00001895731,0.000014975,0.00003551067,0.00004182524,0.00001577443],"domain_scores_gemma":[0.9995973,0.00009172363,0.0001006534,0.00003193917,0.0001175822,0.00006074212],"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":[0.0001895383,0.0001047271,0.9662086,0.0001469882,0.000133072,0.0001735816,0.000428045,0.004600968,0.001874898,0.0001220214,0.002863021,0.02315447],"study_design_scores_gemma":[0.00001379526,0.00002714196,0.9923442,0.00001302692,0.00003071396,0.00004722878,0.0002882376,0.004055165,0.0005984897,0.00004838541,0.00252794,0.00000572972],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9721645,0.00006911174,0.0004436602,0.00002653937,0.000004388987,0.00003348303,0.02605192,0.000137503,0.001068824],"genre_scores_gemma":[0.9572934,0.0001266658,0.003555517,0.00001543457,0.000006775506,0.0001117779,0.03776969,0.00001740626,0.001103438],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.05587454,"threshold_uncertainty_score":0.1110986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05964459448144629,"score_gpt":0.2983127111910056,"score_spread":0.2386681167095593,"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."}}