{"id":"W2802376714","doi":"10.5430/rwe.v9n1p34","title":"Does “Higher Wall” Hinder Immigration?","year":2018,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Construct (python library); Enforcement; Geometric Brownian motion; Demographic economics; Immigration policy; Brownian motion; Political science; Economics; Computer science; Law; Mathematics; Economy; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002194772,0.0002848629,0.0004463545,0.0003030318,0.001490454,0.002271235,0.000576756,0.001704523,0.009378807],"category_scores_gemma":[0.01024418,0.0001586996,0.0003782401,0.0002649864,0.002757266,0.001767764,0.001622785,0.001341504,0.0007497686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007960883,"about_ca_system_score_gemma":0.00161079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002556449,"about_ca_topic_score_gemma":0.004420386,"domain_scores_codex":[0.9986215,0.0005176596,0.00006257203,0.0001941204,0.0001979177,0.0004062244],"domain_scores_gemma":[0.9941536,0.001942488,0.002398533,0.0003576954,0.0003542271,0.0007934632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007178157,0.001178155,0.1762047,0.000952735,0.0003082421,0.001937832,0.007743188,0.01079879,0.01324263,0.6716073,0.01072489,0.1045837],"study_design_scores_gemma":[0.000205821,0.002224229,0.3516335,0.001369781,0.000483314,0.001520884,0.03309274,0.02133455,0.009624549,0.4814791,0.09680405,0.0002274026],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8754707,0.001094,0.01174106,0.01135881,0.000326536,0.00006520473,0.00008797574,0.00004810161,0.09980761],"genre_scores_gemma":[0.994241,0.0002731771,0.001081271,0.0008516582,0.00005818878,0.00001978507,0.00002453102,0.000007582436,0.003442804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009378807,"threshold_uncertainty_score":0.03137529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06505277675199657,"score_gpt":0.410965117588441,"score_spread":0.3459123408364445,"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."}}