{"id":"W2614734067","doi":"10.3808/jei.201500312","title":"Interval Recourse Linear Programming for Resources and Environmental Systems Management under Uncertainty","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Water resources management and optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Higher Education Discipline Innovation Project","keywords":"Linear programming; Constraint programming; Interval (graph theory); Mathematical optimization; Constraint (computer-aided design); Constraint satisfaction; Mathematics; Interval arithmetic; Space (punctuation); Measure (data warehouse); Computer science; Data mining; Stochastic programming; Statistics","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":[0.000331085,0.0001518686,0.0001866903,0.0001284513,0.0000451886,0.00008887086,0.0001334877,0.00005092175,0.00000734064],"category_scores_gemma":[0.000002586204,0.0001309089,0.00006141148,0.00003203466,0.00005395698,0.0004203202,0.00007415244,0.0001068802,0.000006269882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001968156,"about_ca_system_score_gemma":0.000001673931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.903928e-7,"about_ca_topic_score_gemma":2.436394e-7,"domain_scores_codex":[0.9989095,0.00001341413,0.0005759138,0.00004860023,0.0002680658,0.0001845459],"domain_scores_gemma":[0.9995385,0.00001578058,0.0002126086,0.0000963338,0.000004422251,0.0001323079],"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":[0.00005675784,0.00005663304,0.000692145,0.0001912593,0.0001971019,0.000004669151,0.002988102,0.9842382,0.00002449763,0.00002397981,0.001023739,0.01050291],"study_design_scores_gemma":[0.002137542,0.0004481929,0.000465928,0.0001272243,0.0001885354,0.00007779533,0.04739904,0.7843512,0.00005243725,0.00005109578,0.1643926,0.0003083886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490854,0.0007066026,0.04843393,0.00003279739,0.0004405597,0.0005434657,0.00003230821,0.0000389833,0.0006859322],"genre_scores_gemma":[0.9816313,0.0003961048,0.01739123,0.00004624896,0.0001457921,0.00001214358,0.00004639187,0.00003090199,0.0002998611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.199887,"threshold_uncertainty_score":0.5338311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447003779250999,"score_gpt":0.2007042320733172,"score_spread":0.1862341942808072,"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."}}