{"id":"W7099209052","doi":"","title":"The Impact of Interprovincial Migration on Aggregate Output and","year":2007,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Net migration rate; Real gross domestic product; Production (economics); Real wages","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":[0.000645969,0.000378114,0.0003208395,0.0009176321,0.0005188927,0.001768556,0.000455102,0.000271568,0.004078181],"category_scores_gemma":[0.00341685,0.0001317401,0.0004417184,0.002834609,0.0004555873,0.0007019255,0.001064629,0.0006139132,0.0004939804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00697179,"about_ca_system_score_gemma":0.003926225,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6863208,"about_ca_topic_score_gemma":0.7449342,"domain_scores_codex":[0.9992445,0.0001074712,0.00003586862,0.00008293061,0.0002324263,0.0002969502],"domain_scores_gemma":[0.9979768,0.0003631417,0.000392202,0.00009791127,0.0009160548,0.0002538739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004077384,0.00007654297,0.9119174,0.0001391848,0.0004332941,0.000495422,0.0007776034,0.04171959,0.0007366878,0.006243063,0.002872543,0.034181],"study_design_scores_gemma":[0.00001107859,0.00004480179,0.9781321,0.00003491394,0.0001076745,0.00008393289,0.001430262,0.01136418,0.0006149849,0.001948501,0.006211175,0.00001634438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970931,0.001164718,0.001160315,0.001065921,0.00002804188,0.00001809386,0.006622986,0.00005994134,0.01894901],"genre_scores_gemma":[0.993843,0.0004278981,0.0002303673,0.00002865512,0.00001535226,0.000005707831,0.001789271,0.000009808502,0.003649913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3136792,"threshold_uncertainty_score":0.6310531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150415654354821,"score_gpt":0.232656903706279,"score_spread":0.2111527471627307,"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."}}