{"id":"W3165306995","doi":"10.1080/02722011.2020.1763700","title":"Levelling the Lake: Transboundary Resource Management in the Lake of the Woods Watershed","year":2020,"lang":"en","type":"article","venue":"The American Review of Canadian Studies","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Levelling; Resource (disambiguation); Watershed management; Water resource management; Archaeology; Geography; Environmental science; Environmental resource management; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007913362,0.0002194766,0.0002162977,0.00118334,0.009716287,0.004670931,0.000950035,0.001356966,0.004204381],"category_scores_gemma":[0.001706404,0.0001434954,0.0001917812,0.003416618,0.007903137,0.003002634,0.001971001,0.00134329,0.000226763],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03507592,"about_ca_system_score_gemma":0.06993508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.961606,"about_ca_topic_score_gemma":0.9903099,"domain_scores_codex":[0.9993339,0.0001956319,0.00002158961,0.00004127326,0.0001928854,0.0002147035],"domain_scores_gemma":[0.999397,0.00009904097,0.00008282462,0.00001265183,0.0002733044,0.0001351177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005852271,0.00004232198,0.02099892,0.002056092,0.0000747263,0.001617085,0.1254572,0.0009916526,0.0006216206,0.2979468,0.2258105,0.3243245],"study_design_scores_gemma":[0.00001023973,0.00002516181,0.0542622,0.002894137,0.00007558727,0.0002748321,0.1906679,0.0004648479,0.0003173336,0.01839619,0.7325612,0.00005036196],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1375657,0.3536133,0.002699923,0.2709481,0.001822879,0.00009134258,0.0004140852,0.0001049813,0.2327397],"genre_scores_gemma":[0.7207989,0.2107165,0.00252516,0.01221588,0.0003467758,0.00005992718,0.0002397018,0.00004780696,0.0530494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9649241,"threshold_uncertainty_score":0.2544948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05136019731217922,"score_gpt":0.2909206232671426,"score_spread":0.2395604259549634,"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."}}