{"id":"W3123165297","doi":"","title":"State Practice in the Management and Allocation of Transboundary Ground Water Resources in North America","year":2008,"lang":"en","type":"article","venue":"St. Mary's Law Digital Repository (St. Mary's University)","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yearbook; State (computer science); Political science; Groundwater; Library science; Public administration; Water resource management; Environmental science; Engineering; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003810149,0.0002795099,0.0003108286,0.0004368554,0.000835299,0.0003363311,0.0007591171,0.00007932071,0.0000163015],"category_scores_gemma":[0.00001261274,0.000245345,0.0001084671,0.0009486866,0.002069743,0.002094434,0.0002097114,0.0002792122,0.000006499145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003285724,"about_ca_system_score_gemma":0.00006956703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00782953,"about_ca_topic_score_gemma":0.007375652,"domain_scores_codex":[0.9969844,0.0005713579,0.0004303542,0.0005851277,0.0008562104,0.0005726074],"domain_scores_gemma":[0.9989936,0.0002099153,0.0001663796,0.0004224133,0.00008002821,0.0001276279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005353468,0.004660321,0.127398,0.001043025,0.001566652,0.02546578,0.7543614,0.003372132,0.0001633032,0.03729894,0.002592047,0.0367249],"study_design_scores_gemma":[0.0009137146,0.0001779844,0.03166118,0.00004990707,0.00008140616,0.00002662999,0.03161057,0.000009559554,0.00001855861,0.0003078586,0.9348007,0.0003419273],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.67226,0.00008602647,0.00007995348,0.001129322,0.00008930685,0.0007027974,0.00003860198,0.00005901636,0.3255549],"genre_scores_gemma":[0.9902641,0.00034585,0.0001331165,0.0002291762,0.00004094343,0.000006747755,0.00006059323,0.00002307926,0.00889637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9322087,"threshold_uncertainty_score":0.9999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007500388239776099,"score_gpt":0.1953079975773873,"score_spread":0.1878076093376112,"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."}}