{"id":"W3123246554","doi":"10.2139/ssrn.3582182","title":"Immigration, Innovation, and Growth","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Dynamism; Immigration; Attractiveness; Demographic economics; Economic geography; Destinations; Variation (astronomy); Geography; Economics; Tourism","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00133629,0.0001757694,0.0003544448,0.00118106,0.0006348127,0.00222175,0.000231901,0.0009915252,0.009950483],"category_scores_gemma":[0.007869559,0.00007132767,0.0003383658,0.001739048,0.001470465,0.001404662,0.0009963404,0.0008570701,0.0004828725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008522965,"about_ca_system_score_gemma":0.0007911786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009369853,"about_ca_topic_score_gemma":0.01101659,"domain_scores_codex":[0.9996591,0.0001345816,0.0000197065,0.00004146386,0.00004232749,0.0001029239],"domain_scores_gemma":[0.9940677,0.003597652,0.001158982,0.0001455462,0.0002877774,0.0007424415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004977797,0.0006355204,0.6885217,0.0002632884,0.0002893249,0.001408395,0.002311565,0.01097023,0.0003775557,0.1926996,0.008962313,0.09306271],"study_design_scores_gemma":[0.0001054247,0.0003553767,0.6218262,0.0003982004,0.0003651494,0.001197336,0.01093527,0.01489654,0.0003512059,0.3224294,0.02706852,0.00007137605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9140083,0.01050573,0.001483026,0.01156953,0.0002448912,0.00001632216,0.000347162,0.00002936294,0.06179571],"genre_scores_gemma":[0.9912313,0.003304006,0.0001252772,0.00013405,0.0002322777,0.000005262273,0.00007888243,0.000003733183,0.004885114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009950483,"threshold_uncertainty_score":0.0332877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500259442130693,"score_gpt":0.1902409846984466,"score_spread":0.1752383902771397,"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."}}