{"id":"W1993210506","doi":"10.1080/07011784.2014.942571","title":"Cold matters: the state and fate of Canada’s fresh water","year":2014,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"State (computer science); Political science; Environmental ethics; Computer science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000629337,0.0002011529,0.000239653,0.00114775,0.005094933,0.00494314,0.0008828146,0.001011697,0.006382058],"category_scores_gemma":[0.002031348,0.000202388,0.000314316,0.003173809,0.00344587,0.001829659,0.001449439,0.00159352,0.0002401709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05982286,"about_ca_system_score_gemma":0.075506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937976,"about_ca_topic_score_gemma":0.9975775,"domain_scores_codex":[0.9992334,0.00004097076,0.00001228322,0.0000696382,0.0003589837,0.0002847576],"domain_scores_gemma":[0.9981183,0.0001342014,0.0002114968,0.0000607133,0.001097115,0.000378174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001034878,0.0001910253,0.3712468,0.0006063211,0.0004008631,0.001035919,0.01744137,0.007553849,0.006424566,0.1709661,0.1875244,0.2355739],"study_design_scores_gemma":[0.00002972822,0.00007311221,0.6164304,0.0003238911,0.0001179161,0.00009616497,0.02282316,0.002567981,0.001668053,0.01825732,0.3374119,0.0002004191],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7316768,0.01479121,0.001257274,0.1127623,0.0006204118,0.00005820942,0.00892581,0.00006419606,0.1298438],"genre_scores_gemma":[0.9803684,0.004890852,0.0002644474,0.001966489,0.00006784171,0.000006251299,0.0006305819,0.0000272798,0.01177796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05982286,"threshold_uncertainty_score":0.4340473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005289049340585108,"score_gpt":0.1469595770508344,"score_spread":0.1416705277102493,"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."}}