{"id":"W6901933896","doi":"10.6084/m9.figshare.14807190","title":"Towards smart regional growth: institutional complexities and the regional governance of Southern Ontario’s Greenbelt","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Regional policy; Politics; Regional planning; Government (linguistics); Growth management; Intervention (counseling); Decentralization; Regional development","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.00152869,0.0001329226,0.0001431945,0.000560574,0.005840473,0.006227991,0.0007401265,0.0005404549,0.003120903],"category_scores_gemma":[0.0023479,0.0002059772,0.0001601007,0.001065246,0.01109468,0.001242446,0.002457927,0.0006350414,0.0001631438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07366073,"about_ca_system_score_gemma":0.05789252,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9429938,"about_ca_topic_score_gemma":0.983545,"domain_scores_codex":[0.9987613,0.0002371258,0.00003141147,0.00014395,0.0002542698,0.0005718708],"domain_scores_gemma":[0.9985139,0.0002300732,0.0002587412,0.0001391162,0.0003649956,0.0004932517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009011472,0.00003792671,0.1045533,0.000213055,0.00005023107,0.001614866,0.1425915,0.01380369,0.003199223,0.6764097,0.01359068,0.0438458],"study_design_scores_gemma":[0.00002995285,0.00005079724,0.2785319,0.0003238819,0.00005398681,0.0002528371,0.1955202,0.0062187,0.001214854,0.07149255,0.4462172,0.00009320082],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7186092,0.00118491,0.006862433,0.01626008,0.00004708373,0.0001106303,0.0002743592,0.00008398483,0.2565672],"genre_scores_gemma":[0.9889717,0.0002661619,0.0007897618,0.0001141259,0.000003919422,0.00001108244,0.00003674984,0.00001026799,0.009796217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07366073,"threshold_uncertainty_score":0.5344485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05170901386269775,"score_gpt":0.2096232107581772,"score_spread":0.1579141968954794,"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."}}