{"id":"W6998508091","doi":"","title":"Affordability, Transit, And Housing: A Case Study Of Vivanext On Yonge Street In Richmond Hill And Newmarket","year":2018,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Livelihood; Low income; Affordable housing; Population; Transit (satellite); Middle income; Low income housing; Transit-oriented development; Public transport","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":[0.0007057539,0.000503118,0.0003488252,0.001126474,0.01237367,0.002583095,0.001708951,0.001696789,0.005851156],"category_scores_gemma":[0.001349345,0.0005001421,0.0004053365,0.001576377,0.003018889,0.001785003,0.003378423,0.002291167,0.0003876884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008423278,"about_ca_system_score_gemma":0.004390131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3098904,"about_ca_topic_score_gemma":0.6928041,"domain_scores_codex":[0.9990057,0.000446136,0.00002355966,0.00007355815,0.0001208328,0.0003301241],"domain_scores_gemma":[0.9991823,0.0002295362,0.00007780302,0.00002959362,0.00009989877,0.0003808192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001081365,0.001003037,0.07818264,0.0003631286,0.00006571002,0.100955,0.7526655,0.0009466868,0.001366726,0.01624638,0.02074726,0.02734979],"study_design_scores_gemma":[0.000007830708,0.0001483417,0.03115478,0.0001791475,0.00001800224,0.004375869,0.9191336,0.0004400251,0.0002220803,0.000409488,0.04388357,0.00002727657],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976887,0.0005846281,0.0003826305,0.003089907,0.00005158245,0.00009739232,0.0001564872,0.000009343497,0.01874104],"genre_scores_gemma":[0.9760224,0.001844834,0.000846233,0.0007633418,0.00002769545,0.00006319644,0.0001140581,0.00002410037,0.02029411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6901096,"threshold_uncertainty_score":0.6161733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442851237494858,"score_gpt":0.1795221551612609,"score_spread":0.1650936427863124,"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."}}