{"id":"W2768287901","doi":"10.1080/13673882.2016.11868983","title":"Federal Regional Policy in Canada: A Very Brief (Personal) Overview","year":2016,"lang":"en","type":"article","venue":"Regions Magazine","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Diversification (marketing strategy); Regional development; Regional policy; Regional science; Section (typography); Political science; Regional studies; Public administration; Geography; Business; Law; Marketing; Advertising","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002737933,0.0001040121,0.0001671563,0.00005471183,0.0003320537,0.00003620844,0.0002962462,0.00005591292,0.0002081598],"category_scores_gemma":[0.0002953418,0.0000784729,0.00006815081,0.0008153503,0.0002940279,0.0002565562,0.00004090366,0.00007474646,0.00005952058],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813205,"about_ca_system_score_gemma":0.006490701,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9899685,"about_ca_topic_score_gemma":0.9988976,"domain_scores_codex":[0.9983271,0.0001097998,0.0001732347,0.0002564282,0.0006054008,0.0005279829],"domain_scores_gemma":[0.9993677,0.0001646413,0.00009518469,0.0001279789,0.00004976592,0.0001947604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001933588,0.00006188414,0.0693152,0.0000096921,0.0000126541,0.00006848522,0.003606223,0.000001426734,0.0001252086,0.4065497,0.4738679,0.04636236],"study_design_scores_gemma":[0.0002781663,0.000009771427,0.208569,0.00007669333,0.000001667888,0.000002694518,0.0006882557,0.000004652949,0.000001954877,0.003828287,0.7864034,0.0001354438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3023726,0.002922423,0.00009574014,0.601942,0.0006168612,0.0003814643,0.00004537999,0.00007918373,0.09154429],"genre_scores_gemma":[0.9661152,0.003321494,0.00003776422,0.003045823,0.0006855395,0.00001631795,0.000001067116,0.000008752399,0.02676799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6637426,"threshold_uncertainty_score":0.9991416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04670952558328045,"score_gpt":0.3061613696658788,"score_spread":0.2594518440825984,"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."}}