{"id":"W4237842060","doi":"10.32920/ryerson.14653890","title":"Barriers To Mid-Rise Development in Suburban Communities in the Greater Toronto Area","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Transit-oriented development; Smart growth; Geography; Scale (ratio); Business; Economic growth; Pedestrian; Urban planning; Affordable housing; Environmental planning; Economics; Engineering; Civil engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0004286089,0.0001321798,0.0001694371,0.0006644726,0.003886588,0.001709148,0.0005009825,0.0002628787,0.003767924],"category_scores_gemma":[0.00182862,0.0001573476,0.00009693813,0.001284937,0.001625543,0.0005794722,0.001844477,0.0004436792,0.0001184285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01147915,"about_ca_system_score_gemma":0.01184501,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.733431,"about_ca_topic_score_gemma":0.9327933,"domain_scores_codex":[0.9993204,0.0001529836,0.00002568283,0.00006127071,0.0001322167,0.0003074658],"domain_scores_gemma":[0.9986044,0.0002378377,0.0002782721,0.00003705241,0.000214025,0.000628392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002468967,0.0001906531,0.6156188,0.0004035615,0.00003362626,0.003354326,0.3066812,0.001220259,0.003674308,0.01732467,0.004651441,0.04660019],"study_design_scores_gemma":[0.000005183385,0.00006323376,0.7331176,0.00014384,0.000009919773,0.000233302,0.2525235,0.0006406404,0.0002384656,0.0005783096,0.01242949,0.00001656187],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956008,0.0001075393,0.00005570749,0.0002446881,0.000002030736,0.00001642331,0.00004855683,0.000003733522,0.003920524],"genre_scores_gemma":[0.9987068,0.0001279865,0.00008574998,0.00002026114,0.000001005314,0.00000939951,0.00003627384,0.000001543009,0.001010986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.266569,"threshold_uncertainty_score":0.5362778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05191963436442173,"score_gpt":0.3032944175674016,"score_spread":0.2513747832029799,"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."}}