{"id":"W2111760097","doi":"10.1177/0160017606286357","title":"Internal Migration, Asymmetric Shocks, and Interprovincial Economic Adjustments in Canada","year":2006,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Economics; Human capital; Unemployment; Differential (mechanical device); Internal migration; Productivity; Convergence (economics); Demographic economics; Economic geography; Net migration rate; Population; Macroeconomics; Economic growth; Developing country; Population growth","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":[0.0005760259,0.0002404353,0.0004310026,0.00172008,0.002124176,0.001539087,0.0006417236,0.0002951642,0.002433023],"category_scores_gemma":[0.002777591,0.0001790184,0.0004733361,0.004025295,0.001084904,0.0004447675,0.001213802,0.0006365248,0.0001363925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03206077,"about_ca_system_score_gemma":0.03146751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958568,"about_ca_topic_score_gemma":0.9961333,"domain_scores_codex":[0.9993887,0.00004471695,0.00002025057,0.00007239335,0.000155421,0.0003184873],"domain_scores_gemma":[0.998963,0.0001183674,0.0002492442,0.00004499133,0.0004150351,0.0002093545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002174671,0.00005791895,0.8966654,0.00007887968,0.0002019506,0.0006025258,0.003016709,0.02129132,0.0005597118,0.01737875,0.003988447,0.05594097],"study_design_scores_gemma":[0.00001499677,0.00001559876,0.9791652,0.00004224151,0.00006250445,0.0000715783,0.002701541,0.01040261,0.0002122999,0.001486463,0.005794855,0.00003011699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896923,0.000812161,0.0006034938,0.001036339,0.00001329994,0.00002289046,0.001015334,0.00003147238,0.006772622],"genre_scores_gemma":[0.9971486,0.0004708392,0.000216638,0.00004041053,0.00000321328,0.000003609485,0.0004036732,0.000005363084,0.001707823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03206077,"threshold_uncertainty_score":0.2326183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475758039889711,"score_gpt":0.2267525980947566,"score_spread":0.2119950176958595,"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."}}