{"id":"W1516445420","doi":"10.2139/ssrn.2303896","title":"Improving Immigrant Selection: Further Changes are Required Before Increasing Inflows","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Occupational and Professional Licensing Regulation","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Selection (genetic algorithm); Immigration; Demographic economics; Computer science; Political science; Economics; Artificial intelligence","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":[0.01324311,0.0004589468,0.0008091423,0.001144248,0.002015464,0.003551458,0.001790901,0.002050372,0.04451742],"category_scores_gemma":[0.03732534,0.0002118076,0.0007988281,0.001238056,0.0008020626,0.003751456,0.003283738,0.001844684,0.005313347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002032083,"about_ca_system_score_gemma":0.01394183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01349426,"about_ca_topic_score_gemma":0.0273334,"domain_scores_codex":[0.9936489,0.003233535,0.0004646511,0.0004678267,0.0008361486,0.001348875],"domain_scores_gemma":[0.9711227,0.008779274,0.002391432,0.002671713,0.006696784,0.00833823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007692493,0.003947,0.123004,0.001224366,0.0001670977,0.0003828203,0.002833329,0.003814721,0.00626485,0.02768383,0.09569646,0.7342123],"study_design_scores_gemma":[0.000798446,0.003420368,0.5502678,0.004499665,0.0004203516,0.0005712901,0.02193609,0.008565639,0.01109256,0.03391394,0.3642807,0.0002331533],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5351492,0.005851945,0.03185309,0.3054793,0.005563456,0.001950967,0.002263675,0.002729835,0.1091586],"genre_scores_gemma":[0.8328354,0.003278489,0.0395036,0.06881569,0.002176486,0.001077698,0.001347284,0.0003206256,0.05064478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04451742,"threshold_uncertainty_score":0.1489256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276331832284173,"score_gpt":0.2108642893765126,"score_spread":0.1981009710536709,"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."}}