{"id":"W2914831010","doi":"10.2172/1494303","title":"Lake Roosevelt White Sturgeon Modeling Support","year":2016,"lang":"en","type":"report","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sturgeon; Hydrology (agriculture); Environmental science; Acipenser; Bathymetry; Lake sturgeon; Structural basin; Fishery; Oceanography; Geology; Biology; Fish <Actinopterygii>","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005778876,0.000419903,0.0002501328,0.0002942274,0.0003094598,0.0006060688,0.001231537,0.0002538057,0.01011293],"category_scores_gemma":[0.0008290103,0.0001875231,0.0004636467,0.0003300092,0.0001643817,0.0005924273,0.0006594468,0.0003692896,0.001851079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121943,"about_ca_system_score_gemma":0.00201323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06471202,"about_ca_topic_score_gemma":0.06692626,"domain_scores_codex":[0.9998248,0.00003394369,0.00001172935,0.00003517965,0.00006981405,0.00002455785],"domain_scores_gemma":[0.9997488,0.00003750366,0.00001915467,0.00003051533,0.0001407972,0.00002324204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002012185,0.0001679976,0.03064903,0.0001556155,0.00009639554,0.0002804493,0.0004295476,0.8344473,0.0081155,0.01637618,0.04098266,0.06809822],"study_design_scores_gemma":[0.0000486481,0.00005682443,0.003108954,0.00002223974,0.0000232884,0.0000315894,0.0000606449,0.9637684,0.002082312,0.001423154,0.02935129,0.00002272113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5975285,0.0002452701,0.2430802,0.001534616,0.0002074526,0.000733834,0.01735536,0.01328969,0.126025],"genre_scores_gemma":[0.8787217,0.0002952546,0.07174302,0.0001611396,0.00002862905,0.0005802599,0.01967018,0.0009786679,0.02782117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06471202,"threshold_uncertainty_score":0.1286707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02756403840956042,"score_gpt":0.2560413482916686,"score_spread":0.2284773098821082,"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."}}