{"id":"W2699086553","doi":"","title":"North American Precipitation Isotope (δ 18 O) Zones Revealed in Time Series Modelling across Canada and the Northern United States","year":2014,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Series (stratigraphy); Precipitation; Time series; Climatology; Physical geography; Environmental science; Geology; Geography; Meteorology; Statistics; Paleontology; Mathematics","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":[0.0002628624,0.0002138776,0.0001889965,0.0004987498,0.000679586,0.0008257102,0.0004430368,0.0002924764,0.0005846474],"category_scores_gemma":[0.001002242,0.0001798004,0.0003735783,0.001386794,0.0002538827,0.0003202125,0.0002575814,0.0002924008,0.00007546789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004761541,"about_ca_system_score_gemma":0.005244371,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9767684,"about_ca_topic_score_gemma":0.9734306,"domain_scores_codex":[0.999902,0.0000166473,0.000005404917,0.00003480184,0.00001737005,0.00002370608],"domain_scores_gemma":[0.9997298,0.00005633318,0.00003025829,0.00001532891,0.000133963,0.00003424554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002789939,0.0001023755,0.6801935,0.0000458577,0.000279868,0.0002104906,0.0007496531,0.2897153,0.002479039,0.002385926,0.005691565,0.01786739],"study_design_scores_gemma":[0.00002313325,0.00001812277,0.6324083,0.00002309077,0.0001017203,0.00004061673,0.001222056,0.3601433,0.0006681788,0.0005459894,0.004771806,0.00003358285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969848,0.00005926054,0.0004511905,0.0001416797,0.000005987078,0.000004530162,0.001159393,0.000037045,0.001156145],"genre_scores_gemma":[0.9980341,0.00008964441,0.0004700658,0.00001718894,0.000001654261,0.000004649615,0.0008979847,0.000008287365,0.0004764079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02323163,"threshold_uncertainty_score":0.04673684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007899665037724003,"score_gpt":0.1903252418329192,"score_spread":0.1824255767951952,"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."}}