{"id":"W4416117425","doi":"10.48550/arxiv.2504.04761","title":"WLPCM Approach for Great Lakes Regulation","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flood control; Model predictive control; Sensitivity (control systems); Control variable; Resilience (materials science); Variable (mathematics); Probabilistic logic; Adaptive management; Adaptive control","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":[0.0008551763,0.0007796235,0.0007163488,0.0005222873,0.0005618321,0.001153783,0.001479827,0.001115227,0.005544364],"category_scores_gemma":[0.00185714,0.0005591058,0.0009766313,0.0004238506,0.0005619478,0.0007082303,0.001516916,0.001648948,0.0005351482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371545,"about_ca_system_score_gemma":0.002382484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03062128,"about_ca_topic_score_gemma":0.01907372,"domain_scores_codex":[0.9996087,0.0001151946,0.00001778374,0.0001000544,0.0001045353,0.00005377005],"domain_scores_gemma":[0.9995994,0.0001856509,0.00004768973,0.00003063796,0.0001164977,0.00002018656],"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":[0.000009240243,0.000008901759,0.000275659,0.00002108901,0.0000145915,0.00004388015,0.00002240298,0.9834525,0.0002694807,0.009211011,0.0006681107,0.006003147],"study_design_scores_gemma":[0.000002800627,0.000003587403,0.00002791839,0.000002266546,0.000002189794,0.000002239512,0.000003694681,0.9973752,0.00005813771,0.001927437,0.0005928107,0.00000162753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01727582,0.0002322454,0.9652232,0.0006507199,0.0001021581,0.00009936027,0.0003935968,0.001129153,0.01489362],"genre_scores_gemma":[0.7914649,0.0003004021,0.1939914,0.0004183396,0.000119832,0.0005820094,0.0006784878,0.000340062,0.01210456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03062128,"threshold_uncertainty_score":0.06088609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03518395118500776,"score_gpt":0.2482648175420404,"score_spread":0.2130808663570327,"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."}}