{"id":"W772149775","doi":"10.1016/j.jglr.2015.04.016","title":"A review of policy research articles published in the Journal of Great Lakes Research in the past 40years: Progress at the science–policy interface?","year":2015,"lang":"en","type":"review","venue":"Journal of Great Lakes Research","topic":"Water Resources and Governance","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Scholarship; Science policy; Interface (matter); Natural (archaeology); Research policy; Political science; Policy Sciences; Natural science; Policy studies; Policy analysis; Public policy; Engineering ethics; Regional science; Library science; Public administration; Sociology; History; Geography; Engineering; Computer science; Archaeology","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01360037,0.001390986,0.002718767,0.01851332,0.0009457807,0.003976294,0.001421167,0.003302165,0.005177787],"category_scores_gemma":[0.03770884,0.0008275964,0.002226613,0.02080003,0.001265477,0.003900662,0.001855357,0.002454864,0.0008903986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00505443,"about_ca_system_score_gemma":0.02719712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008428338,"about_ca_topic_score_gemma":0.02809566,"domain_scores_codex":[0.9933859,0.001667635,0.001633236,0.0005153865,0.002458082,0.0003398015],"domain_scores_gemma":[0.9590864,0.02504624,0.00575989,0.0004973207,0.008495858,0.00111424],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000220505,0.00009637708,0.001648222,0.2380176,0.001650491,0.0002076449,0.0005065049,0.0002703994,0.0008048557,0.00414468,0.124058,0.6283746],"study_design_scores_gemma":[0.00005975416,0.00009581518,0.007194454,0.1864538,0.003248596,0.0003981133,0.0005071362,0.00006882583,0.0002749788,0.001764,0.7998723,0.00006218631],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001178881,0.9958437,0.00004402607,0.002785753,0.0007327457,0.00001204139,0.00008590605,0.000002897676,0.0003750286],"genre_scores_gemma":[0.0009468543,0.9971002,0.0001413725,0.001165034,0.0004185493,0.00001395081,0.0000707642,0.000001723554,0.0001416157],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9863997,"threshold_uncertainty_score":0.07192647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.326690725145851,"score_gpt":0.5365382207056413,"score_spread":0.2098474955597903,"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."}}