{"id":"W2756904085","doi":"","title":"Exploring Rental Housing Market in Kitchener-Waterloo, Ontario","year":2017,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Strong","keywords":"Renting; Rental housing; Business; Geography; Engineering; Civil engineering","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0002430469,0.0001080243,0.0001633182,0.0005353491,0.001888591,0.001056177,0.0004687229,0.0001664613,0.004434462],"category_scores_gemma":[0.0006660228,0.0001646908,0.0002018234,0.001836515,0.0005907526,0.0005000955,0.000582375,0.0002029502,0.0002776302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02144044,"about_ca_system_score_gemma":0.01147523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9835924,"about_ca_topic_score_gemma":0.9966665,"domain_scores_codex":[0.9997497,0.00002232888,0.000006933822,0.0000329148,0.00008609023,0.0001020943],"domain_scores_gemma":[0.9996005,0.00006366437,0.00007718259,0.00001443256,0.0001355884,0.0001086482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000147213,0.000182681,0.8603297,0.0002110812,0.00004271273,0.001467519,0.07393466,0.001107091,0.002916502,0.007135914,0.01203305,0.04049184],"study_design_scores_gemma":[0.000004342722,0.00002785061,0.9478068,0.00003123735,0.000005819118,0.00005475208,0.03873852,0.001027927,0.0001339477,0.0001382203,0.01201797,0.00001262026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898475,0.0001118562,0.0001626541,0.0002849628,0.000002595254,0.00004344664,0.00102114,0.000004644834,0.008521304],"genre_scores_gemma":[0.9915293,0.0001919581,0.0002228147,0.00004364124,0.000002018638,0.00003228487,0.0004411973,0.000004702214,0.007532036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02144044,"threshold_uncertainty_score":0.155562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0529561360934908,"score_gpt":0.1913614796508754,"score_spread":0.1384053435573847,"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."}}