{"id":"W2588054745","doi":"","title":"Regionalization of IHACRES Model Parameters for In-tegrated Assessment across the Lake Erie, northern Ohio USA basin","year":2006,"lang":"en","type":"article","venue":"ScholarsArchive  (Brigham Young University)","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural basin; Geography; Geology; Archaeology; Physical geography; Geomorphology","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":[0.000283074,0.0001409718,0.0001598391,0.00008703619,0.0004164285,0.00002597151,0.0003437979,0.00005173238,0.00003129783],"category_scores_gemma":[0.00001848774,0.0001153394,0.00008164647,0.0003580315,0.0004939883,0.0003623358,0.0002130947,0.0001536024,0.00001004193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180237,"about_ca_system_score_gemma":0.00001968698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000593712,"about_ca_topic_score_gemma":0.07913409,"domain_scores_codex":[0.9989116,0.0001303066,0.0001614692,0.0003107956,0.0001867995,0.0002990231],"domain_scores_gemma":[0.9995329,0.00008986476,0.0001173334,0.0002140079,0.00001718541,0.00002866431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001549955,0.0001411596,0.8583956,0.0000107878,0.0000543113,0.00001815047,0.0007016067,0.130715,0.000816189,0.008029045,0.0007513061,0.0002118371],"study_design_scores_gemma":[0.001583798,0.0001099867,0.9299267,0.00002710796,0.00007714729,0.00000226577,0.0005501689,0.01989201,0.0004105778,0.01347944,0.03362357,0.0003172499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550686,0.000005245161,0.02471887,0.0004115014,0.0000506614,0.0004338665,0.0001245599,0.00002082358,0.01916589],"genre_scores_gemma":[0.9926261,0.00002111678,0.002574448,0.00008638421,0.000007412881,0.000005241595,0.00009026727,0.000009449779,0.004579623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.110823,"threshold_uncertainty_score":0.9376693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215811246791953,"score_gpt":0.2286371425044534,"score_spread":0.2164790300365339,"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."}}