{"id":"W4241068524","doi":"10.1093/scipol/scaa017","title":"Canadian Science Meets Parliament: Building relationships between scientists and policymakers","year":2020,"lang":"en","type":"article","venue":"Science and Public Policy","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge; Cape Breton University; Laurentian University; Université du Québec à Rimouski; University of Toronto; Western University; University of Ottawa; Simon Fraser University; McGill University; University of British Columbia, Okanagan Campus; University of Manitoba; Royal Military College of Canada; Dalhousie University; University of British Columbia","funders":"","keywords":"Parliament; Political science; Public administration; Regional science; Sociology; Law; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.07574978,0.0008337326,0.001286438,0.006254298,0.04760593,0.02350193,0.005272986,0.01813605,0.01910224],"category_scores_gemma":[0.1555019,0.001298873,0.00098493,0.01044321,0.01758943,0.01360195,0.01586493,0.01282416,0.002969629],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1727276,"about_ca_system_score_gemma":0.5016388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9388793,"about_ca_topic_score_gemma":0.968569,"domain_scores_codex":[0.937895,0.03032109,0.001115419,0.002672833,0.01569296,0.01230269],"domain_scores_gemma":[0.8624507,0.06705957,0.004943999,0.003393071,0.02964155,0.03251108],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002298855,0.0001927342,0.0105742,0.0003556345,0.0001304903,0.0006267165,0.02281111,0.002981695,0.0007341981,0.4170956,0.454412,0.08985583],"study_design_scores_gemma":[0.0002760009,0.00005660137,0.0142403,0.0005883705,0.0001377401,0.00006511746,0.03888451,0.004710883,0.0007419918,0.217747,0.7222752,0.000276311],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01955108,0.003821064,0.008286149,0.781638,0.001581753,0.0003475121,0.0004405715,0.00027061,0.1840632],"genre_scores_gemma":[0.7887224,0.005643882,0.03477812,0.1021775,0.0009713938,0.0009899343,0.0007359349,0.0003184993,0.06566228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9523941,"threshold_uncertainty_score":0.9595187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2384955557555836,"score_gpt":0.4406252911936152,"score_spread":0.2021297354380316,"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."}}