{"id":"W2741543361","doi":"10.1177/0308518x17723631","title":"The state’s estate: Devaluing and revaluing ‘surplus’ public land in Canada","year":2017,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Devaluation; State (computer science); Public land; Real estate; Bureaucracy; Scrutiny; Real property; Public property; Economics; Estate; Business; Politics; Market economy; Finance; Property rights; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001158605,0.0001351272,0.0002830064,0.001366946,0.008795655,0.006938306,0.001086968,0.001028113,0.003387175],"category_scores_gemma":[0.004645428,0.0001542683,0.0002411208,0.002164672,0.008689345,0.001781219,0.002903738,0.001691955,0.00008742585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1283342,"about_ca_system_score_gemma":0.0962269,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924567,"about_ca_topic_score_gemma":0.9966767,"domain_scores_codex":[0.9982748,0.000129404,0.00002380163,0.0001139333,0.0005900809,0.0008678754],"domain_scores_gemma":[0.9983258,0.0002961017,0.0001987776,0.00008681382,0.0006896077,0.0004029288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001893981,0.0001147749,0.07299831,0.0001563389,0.00006311171,0.001421953,0.08020935,0.003897332,0.001702571,0.7464743,0.0306693,0.06210326],"study_design_scores_gemma":[0.00007861523,0.00008887686,0.3443152,0.0003636414,0.0001394132,0.0002755122,0.2041089,0.006472689,0.00211975,0.05500512,0.3868683,0.0001641253],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8491573,0.00118671,0.0006106781,0.009140913,0.00004579558,0.000041051,0.0002521519,0.00002163649,0.1395437],"genre_scores_gemma":[0.9923837,0.0003021242,0.00009332293,0.0003565594,0.000006128949,0.000003108691,0.00004538067,0.000006775678,0.00680308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1283342,"threshold_uncertainty_score":0.9311339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389952368255254,"score_gpt":0.1960663501488822,"score_spread":0.1721668264663296,"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."}}