{"id":"W3106786211","doi":"","title":"Simulating Streamflow In Manitoba Using North American Regional Reanalysis As Input Data","year":2009,"lang":"en","type":"article","venue":"AGU Spring Meeting Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Streamflow; Climatology; Environmental science; Geology; Hydrology (agriculture); Geography; Cartography; Drainage basin","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005945271,0.0001858986,0.0002363873,0.00009555656,0.000261631,0.00003715606,0.0004602934,0.0000347011,0.00001241346],"category_scores_gemma":[0.0002296079,0.0001866926,0.00003749428,0.00042188,0.0001441449,0.0003152369,0.0004523143,0.0002187294,0.0001024743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001298539,"about_ca_system_score_gemma":0.000006546048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03593251,"about_ca_topic_score_gemma":0.03273988,"domain_scores_codex":[0.9982425,0.00006115377,0.00036723,0.0005726071,0.0003054081,0.0004511233],"domain_scores_gemma":[0.9990224,0.000117207,0.0002334824,0.0005480302,0.000005666874,0.0000732467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008366184,0.00004009591,0.5994016,0.000002619647,0.00001918264,0.00006423343,0.000122741,0.3946149,0.0002855012,0.000001685678,0.00003079933,0.005408317],"study_design_scores_gemma":[0.0001524866,0.00002987921,0.9656356,0.00003884854,0.00004667103,0.000002689397,0.0001962954,0.03322547,0.00008403507,0.00007070172,0.0003118562,0.0002054488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927742,0.00001505325,0.00003828187,0.000514121,0.00003429553,0.00009559254,0.000001219879,0.00006135133,0.006465915],"genre_scores_gemma":[0.995068,0.00002395387,0.004256099,0.0005337336,0.00006544645,0.000001203978,0.00001434485,0.00001122196,0.00002597754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3662341,"threshold_uncertainty_score":0.9849101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03739883084425349,"score_gpt":0.2680979744158291,"score_spread":0.2306991435715756,"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."}}