{"id":"W2621615330","doi":"10.1007/s11356-017-9343-4","title":"Hydrologic monitoring tools for freshwater municipal planning in the Arctic: the case of Iqaluit, Nunavut, Canada","year":2017,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Water supply; Environmental science; Environmental resource management; Climate change; Water resources; Freshwater ecosystem; Current (fluid); Population; Water resource management; Environmental planning; Ecosystem; Ecology; Engineering; Environmental 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002830425,0.00005765937,0.00006449595,0.00004598925,0.002070852,0.0002286148,0.0005495308,0.00002443161,0.0002896253],"category_scores_gemma":[0.0001582241,0.00003065225,0.00001356324,0.00009174295,0.001207427,0.0003330107,0.00007401496,0.0001664024,0.000003590483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003151101,"about_ca_system_score_gemma":0.00006561258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6606265,"about_ca_topic_score_gemma":0.843116,"domain_scores_codex":[0.9988117,0.00009267971,0.000104084,0.0001689775,0.0004382624,0.0003842886],"domain_scores_gemma":[0.9993063,0.0003204133,0.00004089159,0.0002638147,0.000008764818,0.00005977916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003974524,0.00001284863,0.9815156,0.00001008764,0.00000241957,0.0001313753,0.003931663,0.0003571326,0.002831677,0.00002533979,0.0002085853,0.01093351],"study_design_scores_gemma":[0.0001906988,0.0001037281,0.9738334,0.00001508797,0.000002375228,0.0001051976,0.01399792,0.006507981,0.0007232726,0.0001546909,0.004304091,0.00006152517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996528,0.0003705938,2.762135e-7,0.001707946,0.0001001706,0.0002431435,0.0005772996,8.656642e-7,0.0004716855],"genre_scores_gemma":[0.9996221,0.0001199718,0.000008295354,0.0001047041,0.00007900082,0.000007025433,0.00002174511,0.000001027896,0.00003609397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1824895,"threshold_uncertainty_score":0.9992283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1488702709147492,"score_gpt":0.3519606719892815,"score_spread":0.2030904010745322,"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."}}