{"id":"W2264445536","doi":"10.11648/j.ajep.s.2015040301.19","title":"Territorial and Branch Assessment of Water Management Balance of Georgia Based on Differential Estimation and Modeling of Economic Impact on Water Resources","year":2015,"lang":"en","type":"article","venue":"American Journal of Environmental Protection","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water balance; Water resources; Period (music); Balance (ability); Estimation; Quarter (Canadian coin); Politics; Natural resource economics; Geography; Environmental science; Water resource management; Economics; Political science; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003845426,0.00007794255,0.000210859,0.00009779412,0.00004990262,0.000009651029,0.00006962767,0.00003689341,0.00003443266],"category_scores_gemma":[0.000004327378,0.000048946,0.00003864969,0.00001489183,0.000270261,0.0000935975,0.00003042883,0.00008961542,4.9269e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002980736,"about_ca_system_score_gemma":0.00001396896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001960279,"about_ca_topic_score_gemma":0.0000024617,"domain_scores_codex":[0.9992331,0.00007796281,0.0003166271,0.0001013971,0.0001719314,0.00009895797],"domain_scores_gemma":[0.9996036,0.00001338746,0.0002712926,0.00005809425,0.000005198666,0.000048404],"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":[0.004849535,0.001261858,0.08585714,0.0001469358,0.0006623395,0.000006151874,0.01265085,0.4663811,0.06500604,0.0009443015,0.00002034044,0.3622134],"study_design_scores_gemma":[0.009094594,0.01798176,0.306701,0.0006444003,0.0002471043,0.00001613135,0.009493346,0.5432125,0.09407182,0.01729824,0.0003486752,0.0008904167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948229,0.000003467749,0.00448779,0.0000974475,0.0001258205,0.000159903,0.000004326845,0.000003044218,0.0002953282],"genre_scores_gemma":[0.9989344,0.00002105941,0.0009761055,0.000004910744,0.00004672149,0.000003645121,0.000001341466,0.00000458456,0.000007261533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.361323,"threshold_uncertainty_score":0.199596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245034422838411,"score_gpt":0.2602711044644317,"score_spread":0.2478207602360476,"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."}}