{"id":"W7019433689","doi":"","title":"GREY TO GREEN 13 GATES TO THE GREENBELT","year":2019,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Placemaking; Blame; Government (linguistics); Urban sprawl; Threatened species; Escarpment; Natural (archaeology); Traverse","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":[0.0003743637,0.0003381307,0.0001499798,0.0003648658,0.01115339,0.004483765,0.0007036149,0.002183617,0.0376359],"category_scores_gemma":[0.001115337,0.0002168757,0.000288385,0.0003629658,0.009179466,0.001492809,0.003216273,0.002143192,0.003816812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02266776,"about_ca_system_score_gemma":0.02665601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7435236,"about_ca_topic_score_gemma":0.9328632,"domain_scores_codex":[0.9992626,0.00005619817,0.000006991924,0.0001081415,0.0002146826,0.0003513136],"domain_scores_gemma":[0.9993445,0.00004205613,0.00003326248,0.00003690507,0.0001980824,0.0003451235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007580728,0.00005321595,0.005302981,0.0001394996,0.000009065794,0.001012841,0.03653166,0.0002608701,0.001664781,0.4096012,0.5010375,0.04431058],"study_design_scores_gemma":[0.000004301168,0.00001596414,0.0040463,0.00007215487,0.000003730226,0.0000496561,0.01038419,0.00003760761,0.0002477009,0.00359107,0.9815385,0.000008841109],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04693783,0.002045237,0.001713166,0.04418263,0.002537545,0.0001075228,0.0002698822,0.0001823721,0.9020237],"genre_scores_gemma":[0.2701062,0.001357849,0.0009743631,0.009842554,0.0002088226,0.00003756046,0.0001140484,0.00007545482,0.7172832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2564764,"threshold_uncertainty_score":0.5159737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276336961612171,"score_gpt":0.2267562523577516,"score_spread":0.2139928827416299,"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."}}