{"id":"W7135937085","doi":"","title":"The Rentier Tilt: Mortgage-Led Growth and the Decline of Productive Investment in Canada","year":2025,"lang":"en","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Productivity; Production (economics); Order (exchange); Government (linguistics)","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":[0.00137536,0.0002514293,0.0006363992,0.001780356,0.008524737,0.009841619,0.001589521,0.002642215,0.01156355],"category_scores_gemma":[0.006770142,0.0002653034,0.0005891091,0.004586695,0.004353113,0.002444698,0.002712628,0.003736909,0.0003838891],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2252124,"about_ca_system_score_gemma":0.2855691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.998933,"about_ca_topic_score_gemma":0.9992818,"domain_scores_codex":[0.9976426,0.00008330218,0.00005626228,0.0001416354,0.000612269,0.001463929],"domain_scores_gemma":[0.9958858,0.0003756682,0.0004609529,0.0000986262,0.001858391,0.001320451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006214262,0.000197989,0.2412596,0.0006041783,0.0001921539,0.00153655,0.02631771,0.005679979,0.001153099,0.4830591,0.1455992,0.09377895],"study_design_scores_gemma":[0.00009153586,0.00005215586,0.6911251,0.0007488413,0.000154188,0.0001925437,0.04180239,0.006004509,0.0007674788,0.02206578,0.2367767,0.0002187506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7125313,0.01080823,0.0003781091,0.1551762,0.0002743886,0.00005558319,0.005543293,0.0000782728,0.1151547],"genre_scores_gemma":[0.970925,0.004017169,0.0001768746,0.002573776,0.00005514737,0.00001071651,0.0006349335,0.00002795954,0.02157839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2252124,"threshold_uncertainty_score":0.8986439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004741252512956051,"score_gpt":0.2331374087124732,"score_spread":0.2283961561995172,"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."}}