{"id":"W2353235390","doi":"","title":"The Real Estate Development and Tax Levy in Vancouver, Canada","year":2004,"lang":"en","type":"article","venue":"Journal of Shanghai Polytechnic College of Urban Management","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Estate tax; Estate; Economics; Finance; Tax credit; Public economics; Tax avoidance","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":[0.0005695291,0.0002877662,0.0006463015,0.002159729,0.005576608,0.004011625,0.001690919,0.001350164,0.009753516],"category_scores_gemma":[0.002978293,0.0004559574,0.000501668,0.006013862,0.001056836,0.0008438427,0.001578218,0.002234168,0.0008076864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08847679,"about_ca_system_score_gemma":0.09131405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988483,"about_ca_topic_score_gemma":0.9997924,"domain_scores_codex":[0.9990114,0.00006973797,0.00005048019,0.0000662563,0.0002785045,0.0005235648],"domain_scores_gemma":[0.9963882,0.0002043508,0.0002451583,0.00005463209,0.001833162,0.001274516],"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":[0.0005797662,0.0003503441,0.8709813,0.000179142,0.0002020306,0.002001279,0.005045361,0.004114545,0.0003707087,0.01015245,0.06149826,0.04452485],"study_design_scores_gemma":[0.0000544014,0.00004046418,0.9493595,0.0001314307,0.00005109359,0.0002156858,0.01604836,0.002379724,0.0001539298,0.0006939438,0.03080027,0.00007128895],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566489,0.00276448,0.0001057359,0.00900806,0.0001265101,0.00006119528,0.007838681,0.00003055942,0.02341585],"genre_scores_gemma":[0.9575973,0.001851772,0.0001354006,0.0004255114,0.0000232476,0.00001691767,0.002565159,0.00002376418,0.03736083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08847679,"threshold_uncertainty_score":0.641947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067671985407,"score_gpt":0.1830717893971147,"score_spread":0.1723950695430447,"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."}}