{"id":"W2298653537","doi":"","title":"Isotope-Inferred Water Balance of Slave River Delta Lakes, NWT, Canada.","year":2007,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Indigenous and Northern Affairs Canada; University of Waterloo","keywords":"Delta; River delta; Hydrology (agriculture); Water balance; Stable isotope ratio; Environmental science; Balance (ability); Geography; Geology; Physical geography; Biology; Engineering","routes":{"ca_aff":false,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001961782,0.0002869017,0.0005238944,0.00009126854,0.0002427782,0.000007095393,0.0005414822,0.000253814,0.001225564],"category_scores_gemma":[0.000007238269,0.0002519125,0.000146091,0.0001431797,0.000375238,0.0001431483,0.0002297688,0.0002290074,0.00008874582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002288138,"about_ca_system_score_gemma":0.00004916632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9541773,"about_ca_topic_score_gemma":0.987406,"domain_scores_codex":[0.9982605,0.00006541131,0.0002210021,0.0004102837,0.0005948582,0.0004479401],"domain_scores_gemma":[0.999218,0.00002994266,0.0002400628,0.000345101,0.00005315198,0.0001137091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001147933,0.0004038305,0.06258686,0.00137902,0.0008403307,0.0004209773,0.8221573,0.00121822,0.03966314,0.000068252,0.06637355,0.003740628],"study_design_scores_gemma":[0.003483178,0.0004661287,0.3139613,0.0007693903,0.0008405718,0.00001335756,0.3921671,0.0004326378,0.150276,0.0004126937,0.1345036,0.002674091],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9943395,0.00007825026,0.000007279188,0.0004181597,0.0002467161,0.0002329931,0.0001215119,0.00002102167,0.00453455],"genre_scores_gemma":[0.4449866,0.00010687,0.0003988001,0.00004224182,0.00002630669,3.561494e-7,0.0005381817,0.00002211941,0.5538785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5493529,"threshold_uncertainty_score":0.9999933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333447319441886,"score_gpt":0.197019940579927,"score_spread":0.1836854673855082,"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."}}