{"id":"W2754219616","doi":"","title":"ELK RIVER WATERSHED – FLOOD STUDY","year":2014,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Flood myth; Watershed; Hydrology (agriculture); Environmental science; Geography; Water resource management; Geology; Archaeology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.002383567,0.0001848572,0.0002097215,0.00009541275,0.0007388624,0.0002855542,0.0005235722,0.00007598304,0.00001584736],"category_scores_gemma":[0.0002539764,0.0001725622,0.00007578769,0.0001645624,0.0002057573,0.0001756927,0.00008211195,0.0001881079,0.0005652016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007618196,"about_ca_system_score_gemma":0.00003021444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07238161,"about_ca_topic_score_gemma":0.05284248,"domain_scores_codex":[0.9974882,0.0004154805,0.0003414739,0.0004173726,0.0007114971,0.0006259522],"domain_scores_gemma":[0.9991462,0.0001447947,0.0001150621,0.0003351335,0.00006152083,0.0001973195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004955825,0.001184102,0.720691,0.00006446715,0.0002185287,0.00009738818,0.2483368,0.005979959,0.0001795675,0.0008437022,0.002024842,0.02033008],"study_design_scores_gemma":[0.001488017,0.0002638758,0.5246092,0.00006904796,0.0001245236,9.699139e-7,0.01559391,0.00008981084,0.0001516621,0.0008690916,0.4561402,0.0005996444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8369812,0.000009761392,0.00003284588,0.001000621,0.0002807918,0.0004465955,8.241092e-7,0.0002787899,0.1609686],"genre_scores_gemma":[0.9969819,0.000003393983,0.0004624057,0.0002602667,0.0003655624,0.00002055833,0.000004130786,0.00002698088,0.00187484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4541154,"threshold_uncertainty_score":0.9644407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018944117578997,"score_gpt":0.2640081325736984,"score_spread":0.2438186913979084,"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."}}