{"id":"W3006687458","doi":"10.1016/j.dib.2020.105308","title":"Watershed, climate, and stable isotope data (oxygen-18 and deuterium) for 50 boreal lakes in the oil sands region, northeastern Alberta, Canada, 2002–2017","year":2020,"lang":"en","type":"article","venue":"Data in Brief","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Innotech Alberta; Alberta Environment and Parks","keywords":"Permafrost; Watershed; Environmental science; Surface runoff; Water balance; Hydrology (agriculture); Boreal; Precipitation; Physical geography; Geology; Geography; Ecology; Oceanography; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003401395,0.000153431,0.0001972333,0.00001878146,0.0001220098,0.0002008432,0.001038356,0.00005107568,0.00009820393],"category_scores_gemma":[0.000056016,0.0001093316,0.000007398704,0.00009135804,0.00007408221,0.0005929441,0.0002374112,0.0001206011,0.000004087768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003039997,"about_ca_system_score_gemma":0.0000932513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7784405,"about_ca_topic_score_gemma":0.9684702,"domain_scores_codex":[0.9986181,0.00004729253,0.0002352218,0.0005526292,0.0001547272,0.0003920032],"domain_scores_gemma":[0.9988584,0.0001236454,0.00004780458,0.0008369412,0.00001314746,0.0001200396],"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":[0.0001522214,0.00001311597,0.9043434,0.0002149154,0.00001220082,0.00006394501,0.0007004957,0.00001015947,0.00001583859,0.000003193617,0.08653523,0.007935258],"study_design_scores_gemma":[0.0007662353,0.00004833246,0.4067226,0.00003016609,0.00001634405,0.00007713464,0.0006414203,0.009999332,0.00001860054,0.00001370882,0.581435,0.0002311508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684904,0.001353396,0.00003469914,0.006402252,0.0001291086,0.0003243616,0.01799197,0.00001247189,0.005261353],"genre_scores_gemma":[0.9697216,0.0006012379,0.0001705463,0.002261922,0.0001408631,0.000004768858,0.02685388,0.000006364317,0.0002388878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4976208,"threshold_uncertainty_score":0.4458412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04863623392046545,"score_gpt":0.2313645072444657,"score_spread":0.1827282733240003,"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."}}