{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001274015,0.0001548173,0.0002335128,0.0002230154,0.0003642424,0.0001170565,0.0001370233,0.0001177437,0.0002897365],"category_scores_gemma":[0.0001101084,0.0001472168,0.00009424709,0.0002325862,0.00002786302,0.0004970499,0.00003000333,0.0007400595,0.0003386434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006385989,"about_ca_system_score_gemma":0.0002164553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001412983,"about_ca_topic_score_gemma":0.001824716,"domain_scores_codex":[0.9981476,0.00004301417,0.0004163554,0.0002390157,0.00008061573,0.001073385],"domain_scores_gemma":[0.9990662,0.00003754125,0.0005864981,0.0001086132,0.0001256311,0.00007552109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001652543,0.0001242193,0.5242829,0.0000341927,0.0002805374,0.000001787555,0.001142596,0.0001534392,0.001658881,0.3777892,0.0002432301,0.09412374],"study_design_scores_gemma":[0.0006711562,0.0002301891,0.3963691,0.00006193783,0.0000121915,0.0002746503,0.0007698902,0.004434521,0.000059859,0.5942014,0.002584802,0.0003303478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895048,0.002348983,0.002244881,0.004665203,0.0003955297,0.0001809512,0.000008220135,0.00004327528,0.0006081323],"genre_scores_gemma":[0.9963543,0.0001774244,0.0003810694,0.0002424088,0.0008494462,0.000012544,0.00001220181,0.00002893407,0.001941684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2164122,"threshold_uncertainty_score":0.6003326,"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."}}