{"id":"W2127170019","doi":"10.1016/j.jglr.2014.11.026","title":"The Great Lakes Futures Project: Principles and policy recommendations for making the lakes great","year":2015,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Water Resources and Governance","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Western University","funders":"Canada Research Chairs; European Commission; McMaster University; University of Michigan","keywords":"Futures contract; Set (abstract data type); Process (computing); Structural basin; Space (punctuation); Environmental policy; Environmental planning; Management science; Environmental resource management; Business; Engineering; Computer science; Environmental science; Finance; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.02900446,0.0009579211,0.0008247089,0.001391652,0.006862949,0.01714002,0.003822725,0.02071262,0.02460196],"category_scores_gemma":[0.03506375,0.0009434458,0.00126368,0.002355451,0.006047086,0.01477274,0.0126132,0.0117905,0.002651323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01065662,"about_ca_system_score_gemma":0.0756335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1142191,"about_ca_topic_score_gemma":0.1912706,"domain_scores_codex":[0.9894845,0.005002719,0.0004195912,0.0006487739,0.0028834,0.001561062],"domain_scores_gemma":[0.9870577,0.003223686,0.0006138118,0.0007941433,0.003284317,0.00502622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000495815,0.00008780124,0.001272507,0.0001851736,0.0000302033,0.0001437055,0.002135144,0.001261959,0.0002169836,0.5260859,0.4479698,0.02056135],"study_design_scores_gemma":[0.0001126516,0.00003947898,0.002633356,0.0004964354,0.00002629155,0.0000543284,0.004192075,0.001324481,0.0004186144,0.1884093,0.8021887,0.0001043908],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006248426,0.002735567,0.01602538,0.8573981,0.004726238,0.0005179539,0.002285767,0.0005111861,0.1095514],"genre_scores_gemma":[0.2084431,0.006784874,0.2630307,0.2659048,0.003065484,0.004888209,0.00386798,0.0008944806,0.2431203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8857809,"threshold_uncertainty_score":0.2271085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2247152816396529,"score_gpt":0.4523666965905985,"score_spread":0.2276514149509457,"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."}}