{"id":"W2067782920","doi":"10.2166/wp.2008.059","title":"Conflicts, costs and environmental degradation – impacts of antiquated ground water allocation policies in the Great Lakes Basin","year":2008,"lang":"en","type":"article","venue":"Water Policy","topic":"Water Resources and Governance","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Government of Canada; U.S. Environmental Protection Agency","keywords":"Groundwater; Structural basin; Agriculture; Environmental degradation; Resource (disambiguation); Farm water; Population; Water resources; Water resource management; Natural resource economics; Government (linguistics); Environmental science; Environmental protection; Environmental planning; Business; Geography; Water conservation; Economics; Ecology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002820149,0.00009307218,0.0001156435,0.00007916787,0.0002284504,0.00004686255,0.0001433698,0.00005847858,0.00002261699],"category_scores_gemma":[0.00001747011,0.0000496007,0.00002564963,0.00008043625,0.0003616215,0.0002284683,0.0000326324,0.00005636971,0.00001339897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000880911,"about_ca_system_score_gemma":0.00001676348,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1568796,"about_ca_topic_score_gemma":0.006343396,"domain_scores_codex":[0.9989892,0.0001672866,0.000169748,0.0001207387,0.000246873,0.0003061562],"domain_scores_gemma":[0.9997603,0.00002360969,0.00004409106,0.0001148024,0.00001001693,0.00004722301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006297449,0.0001503543,0.2199739,0.00002640637,0.00002688707,0.00001542896,0.687681,0.00001414347,0.0860343,0.003683007,0.0005489903,0.001782656],"study_design_scores_gemma":[0.0008663259,0.0001082159,0.7405995,0.00003454914,0.0000143279,0.00003142958,0.005611649,0.00004286218,0.1167725,0.0004058746,0.1352493,0.0002633858],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918008,0.00005078976,0.000002600732,0.006726322,0.00001726307,0.0001915005,0.00001763132,0.00001078912,0.001182273],"genre_scores_gemma":[0.9976448,0.0004006282,0.000006192796,0.0004994023,0.0001189502,0.000006347589,0.00005152922,0.000007053111,0.001265097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6820693,"threshold_uncertainty_score":0.8487349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152979525086351,"score_gpt":0.2644019356362048,"score_spread":0.2428721403853413,"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."}}