{"id":"W2800761663","doi":"10.5194/essd-10-1753-2018","title":"Hydrometeorological data from Baker Creek Research Watershed, Northwest Territories, Canada","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Science and Technology Directorate; Association of Research Libraries; Environment and Climate Change Canada; Compute Canada; Canadian Association of Research Libraries; University of Saskatchewan","keywords":"Hydrometeorology; Snowpack; Watershed; Interflow; Environmental science; Streamflow; Hydrology (agriculture); Snow; Snowmelt; Geology; Precipitation; Groundwater; Drainage basin; Meteorology; Geography; Geomorphology","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":["sts","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004470393,0.0001930164,0.000279231,0.0001283459,0.001446274,0.00084249,0.00731058,0.00008405041,0.007799129],"category_scores_gemma":[0.0003450375,0.0001494872,0.00001367514,0.001226523,0.001509059,0.00183882,0.001404551,0.000294256,0.001292568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002711986,"about_ca_system_score_gemma":0.001143886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994288,"about_ca_topic_score_gemma":0.9995981,"domain_scores_codex":[0.994707,0.0002702936,0.000390097,0.001555701,0.001951052,0.001125811],"domain_scores_gemma":[0.9944878,0.0003951582,0.00008636168,0.004277329,0.0002285111,0.0005247896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003237311,0.000012814,0.9500765,0.00002171243,0.00001102515,0.0001788947,0.00018791,0.000003242051,0.0002964888,0.000005777327,0.04674705,0.002426275],"study_design_scores_gemma":[0.0001815652,0.0001425287,0.6619453,0.0000551685,0.00001015363,0.00005654004,0.001309377,0.02890958,0.00008234458,0.00001073387,0.3070178,0.0002788648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7820089,0.0002620265,0.000009010651,0.0004202846,0.002264476,0.0002453975,0.2121962,0.00005273443,0.002540973],"genre_scores_gemma":[0.8917503,0.00002264091,0.0002535169,0.0001780465,0.001618954,0.000001022771,0.1060521,0.000004874492,0.0001185874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2881311,"threshold_uncertainty_score":0.9998537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2317864050847634,"score_gpt":0.3310365618460397,"score_spread":0.0992501567612763,"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."}}