{"id":"W2466942915","doi":"10.1177/0308518x16657550","title":"Professional experts and lay knowledge in Vancouver’s accessory apartment rental market","year":2016,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Renting; Apartment; Real estate; Revenue; Order (exchange); Business; Rental housing; Leasehold estate; Estate; Finance; Marketing; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002680855,0.0001710905,0.0002846886,0.0001134417,0.0001201866,0.00003630201,0.00005517997,0.00009659347,0.0002921285],"category_scores_gemma":[0.000003215527,0.000149573,0.00002464738,0.00002423571,0.0001073618,0.0002820914,0.00009906598,0.00007666949,0.00002268741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005769651,"about_ca_system_score_gemma":0.000006879927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000289875,"about_ca_topic_score_gemma":0.00003875835,"domain_scores_codex":[0.9990106,0.00002080343,0.0002715481,0.0004304148,0.0000162846,0.0002503881],"domain_scores_gemma":[0.9995709,0.00008392411,0.0001275817,0.0001172384,0.000001425783,0.00009890564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001300648,0.0001721935,0.9485818,0.00005992489,0.00004240044,0.0000286353,0.006209132,0.000007611986,0.0000478501,0.01161165,0.02510983,0.007998938],"study_design_scores_gemma":[0.001498078,0.00006414306,0.1773867,0.0001207649,0.00000354333,0.000006030502,0.0004338628,0.000216689,0.00005263396,0.00133535,0.8185408,0.0003413546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448065,0.008063283,0.0001323746,0.0004694299,0.0002847625,0.0001623392,0.00003157725,0.00001271592,0.04603701],"genre_scores_gemma":[0.9841381,0.002190121,0.0001789787,0.0001432312,0.00009046437,0.0000389923,0.000003654714,0.00001405332,0.01320236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.793431,"threshold_uncertainty_score":0.6099411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038885784346637,"score_gpt":0.2170696213266789,"score_spread":0.1966807634832125,"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."}}