{"id":"W2258824671","doi":"10.3133/sir20155176","title":"Decision analysis to support development of the Glen Canyon Dam long-term experimental and management plan","year":2015,"lang":"en","type":"article","venue":"Scientific investigations report","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"EcoMetrix","funders":"Argonne National Laboratory; National Park Service; Bureau of Reclamation; Arizona Game and Fish Department; Northern Arizona University","keywords":"Geological survey; National park; Resource (disambiguation); Environmental resource management; Service (business); National laboratory; Operations research; Engineering; Environmental science; Geography; Business; 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":[0.001061142,0.0001066062,0.0001403339,0.0001326496,0.0005389244,0.00008174439,0.0002613114,0.00002727449,0.0001014771],"category_scores_gemma":[0.00004765026,0.00007283672,0.00005009149,0.001027744,0.0006751671,0.00009995866,0.0007721256,0.00004044495,0.00005778858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001584401,"about_ca_system_score_gemma":0.00004858212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001043283,"about_ca_topic_score_gemma":0.001029554,"domain_scores_codex":[0.9981294,0.00003865996,0.0004478708,0.0004242451,0.000773595,0.0001861757],"domain_scores_gemma":[0.9991303,0.00001018669,0.0001463302,0.0004807882,0.00002576811,0.0002066402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006486342,0.0001031866,0.9673707,0.00001212245,0.0001537644,0.00002465267,0.01862057,0.001513983,0.004494624,0.00005406517,0.006227167,0.001418715],"study_design_scores_gemma":[0.0001610312,0.00002644633,0.9354646,0.00002621582,0.0001268938,0.00002965442,0.001361367,0.0000730865,0.04531769,0.0001869888,0.01704624,0.0001797549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945248,0.00001657655,0.0006693676,0.0001687261,0.0003518605,0.0003109435,0.000005721866,0.0000148552,0.00393716],"genre_scores_gemma":[0.9823087,4.186964e-7,0.009622656,0.00005956532,0.000008129377,0.00003559996,0.00003555512,0.000004710528,0.007924634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04082306,"threshold_uncertainty_score":0.4145025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0979157427166822,"score_gpt":0.2935032707150882,"score_spread":0.195587527998406,"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."}}