{"id":"W7100885713","doi":"","title":"1 TOTAL RETURNS ANALYSIS FOR THE AUCKLAND AND WELLINGTON APARTMENT MARKETS","year":2015,"lang":"en","type":"article","venue":"","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apartment; Renting; Quarter (Canadian coin); Capital gain; Occupancy; Rental housing","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":[0.001234968,0.0004383083,0.0004642325,0.004914216,0.0006287073,0.002339146,0.0006866526,0.0002418726,0.008361106],"category_scores_gemma":[0.005585275,0.0001972104,0.0007903753,0.004618054,0.0005172298,0.001930467,0.0009018871,0.0005822204,0.0006895498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003125385,"about_ca_system_score_gemma":0.001080606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09828872,"about_ca_topic_score_gemma":0.1015448,"domain_scores_codex":[0.9989223,0.0002128872,0.00007657892,0.0001318514,0.0004608888,0.0001955239],"domain_scores_gemma":[0.9957786,0.001358118,0.001160354,0.000278375,0.001088654,0.0003359232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008188454,0.0002961651,0.8544871,0.0001492819,0.0002729195,0.001873565,0.0005805755,0.01872361,0.002077102,0.01466303,0.00684168,0.09921608],"study_design_scores_gemma":[0.00003621337,0.0004893228,0.9440346,0.00004314963,0.00008939063,0.0007432391,0.001500238,0.04145689,0.00131275,0.002496379,0.007746761,0.00005109145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743224,0.0005470826,0.002601716,0.0001420694,0.0000142824,0.0001185078,0.002086752,0.00005080369,0.02011639],"genre_scores_gemma":[0.9908478,0.0002197074,0.001366002,0.00001357962,0.00001561309,0.0000361402,0.002138964,0.00001763772,0.0053446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09828872,"threshold_uncertainty_score":0.1954332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04908548495625956,"score_gpt":0.2236734408600864,"score_spread":0.1745879559038268,"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."}}