{"id":"W2559865591","doi":"","title":"Hydroclimatological Aspects of the Extreme 2011 Assiniboine River Basin Flood","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Environment and Protected Areas","funders":"","keywords":"Flood myth; Hydrology (agriculture); Structural basin; Drainage basin; Geography; Geology; Geomorphology; Archaeology; Cartography; Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006350054,0.0001440044,0.0002164887,0.00002000826,0.0002473857,0.000007782013,0.000367605,0.00007568737,0.0003441224],"category_scores_gemma":[0.000146354,0.00009014169,0.00008507781,0.00007075436,0.0004590589,0.00008387896,0.0006180204,0.0001319228,0.001089372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002226093,"about_ca_system_score_gemma":0.00000201117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006258039,"about_ca_topic_score_gemma":0.0004988583,"domain_scores_codex":[0.9987242,0.0002010197,0.0002310303,0.0002941816,0.0002330656,0.0003165112],"domain_scores_gemma":[0.9993794,0.0001202055,0.0001453703,0.0003068608,0.00000577756,0.00004238496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001178415,0.00007734432,0.9846596,0.00001373143,0.0000268462,0.00000337848,0.0003067925,0.0005589755,0.001596068,0.001143193,0.01087274,0.0007295571],"study_design_scores_gemma":[0.0007684709,0.0001278288,0.9506063,0.00005023388,0.00009467825,0.000008784836,0.00008277497,0.004400825,0.003349994,0.006992755,0.03317763,0.0003397293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7838613,0.00003289499,0.0001982605,0.001557599,0.0001694738,0.0001176442,8.532934e-7,0.00003741723,0.2140245],"genre_scores_gemma":[0.9979773,0.00001745507,0.0007334224,0.0006176205,0.00004290626,0.000007549065,0.000001095644,0.000008932801,0.000593788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2141159,"threshold_uncertainty_score":0.9996884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512311559545841,"score_gpt":0.2041962337811787,"score_spread":0.1890731181857203,"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."}}