{"id":"W2296649287","doi":"10.15353/pced.v9i0.20","title":"Policy support of economic growth corridors: A Canadian approach to urban-rural development","year":2014,"lang":"en","type":"article","venue":"Papers in Canadian Economic Development","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dilemma; Government (linguistics); Growth management; Work (physics); Process (computing); Political science; Urban policy; Rural development; Policy development; Urban planning; Environmental planning; Economic growth; Public administration; Land use; Geography; Economics; Engineering; Computer science; Civil engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003455093,0.0004547043,0.0002579761,0.00213868,0.01403861,0.006987157,0.001733565,0.002718677,0.005666514],"category_scores_gemma":[0.005647258,0.0002131128,0.0003634316,0.002512155,0.009025827,0.002112116,0.003732986,0.00396141,0.0002054709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1314208,"about_ca_system_score_gemma":0.2468198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9798417,"about_ca_topic_score_gemma":0.9903132,"domain_scores_codex":[0.9955681,0.001292478,0.00007125909,0.0002502189,0.001161058,0.001656887],"domain_scores_gemma":[0.996085,0.0009011368,0.0001669526,0.0001067261,0.001901889,0.0008382722],"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":[0.0000156191,0.00001659317,0.001620307,0.00009594386,0.000007929044,0.0001983235,0.003424712,0.002271156,0.0003034264,0.9607418,0.0159506,0.01535361],"study_design_scores_gemma":[0.00003460065,0.00003542536,0.01034058,0.0006278458,0.00003465256,0.0001381487,0.01876255,0.004993215,0.0007220867,0.1002842,0.8639261,0.0001005877],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0430265,0.005088833,0.0135144,0.1881324,0.000489427,0.0002850043,0.0003696907,0.0001492364,0.7489444],"genre_scores_gemma":[0.9121789,0.004411947,0.01001091,0.009355857,0.00008903821,0.0001353456,0.000117597,0.00003596077,0.06366442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1314208,"threshold_uncertainty_score":0.9535291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370402319965537,"score_gpt":0.2467740065972028,"score_spread":0.2330699833975474,"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."}}