{"id":"W4220660270","doi":"10.1111/caje.12585","title":"How important are land values in house price growth? Evidence from Canadian cities","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Economics; Land Values; Returns to scale; CobB; Scale (ratio); Econometrics; Constant (computer programming); Quality (philosophy); House price; Work (physics); Land use; Set (abstract data type); Microeconomics; Geography; Production (economics); Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00104773,0.000306987,0.0004290778,0.001864461,0.002157141,0.002319172,0.001048346,0.0004413381,0.002863434],"category_scores_gemma":[0.007971846,0.0002239461,0.0004116958,0.008246441,0.001930808,0.000718524,0.0008931217,0.0006825149,0.0002404385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0205209,"about_ca_system_score_gemma":0.01359637,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941092,"about_ca_topic_score_gemma":0.9965762,"domain_scores_codex":[0.9988802,0.0001167118,0.00004011741,0.0001640744,0.000520066,0.0002787498],"domain_scores_gemma":[0.9894444,0.002021023,0.001746804,0.0005768551,0.005372963,0.0008378198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002813229,0.0000497565,0.9526525,0.0001393244,0.000132761,0.0003654471,0.004071866,0.001440859,0.0004105428,0.006257289,0.00838775,0.02581058],"study_design_scores_gemma":[0.000006174578,0.000008003293,0.9910523,0.00003136385,0.00003495002,0.0000183858,0.003295881,0.0005339574,0.0001345635,0.0003463418,0.004520568,0.00001746715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678873,0.001784861,0.0002849256,0.002548642,0.00002121078,0.00001348839,0.003943724,0.00001291803,0.02350289],"genre_scores_gemma":[0.9975183,0.0006458936,0.00006553179,0.00006561803,0.00000666643,0.000002267814,0.0008733269,0.000003782382,0.0008187437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0205209,"threshold_uncertainty_score":0.1488903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.114425373203932,"score_gpt":0.1682194603117176,"score_spread":0.05379408710778559,"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."}}