{"id":"W2161266833","doi":"10.1017/s0143814x14000191","title":"Low-technology industries and the skill composition of immigration","year":2014,"lang":"en","type":"article","venue":"Journal of Public Policy","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Immigration; Incentive; Immigration policy; Argument (complex analysis); Production (economics); Premise; Order (exchange); Economics; Composition (language); Empirical research; Labour economics; Business; Political science; Market economy; Macroeconomics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001410328,0.00003637255,0.0001173843,0.0002617495,0.0001485945,0.0000579866,0.0001374618,0.00008861267,0.0000151218],"category_scores_gemma":[0.001016464,0.00002356433,0.00002969746,0.0005018943,0.0004927222,0.0002295515,0.00001508197,0.0001322781,7.283544e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003894009,"about_ca_system_score_gemma":0.0002894727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004321144,"about_ca_topic_score_gemma":0.0013297,"domain_scores_codex":[0.9991968,0.0002548069,0.0002341007,0.00003253544,0.0001856363,0.00009615553],"domain_scores_gemma":[0.9991014,0.000109982,0.0003609538,0.00005711407,0.0003179316,0.00005264328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009063016,0.00002262034,0.00128206,0.000002241283,0.00001074939,1.020301e-7,0.006333563,0.000004863959,0.0002271299,0.9701444,0.000613599,0.02134959],"study_design_scores_gemma":[0.009887741,0.0008782386,0.04648647,0.0002204918,0.0001528571,0.0001283573,0.07145967,0.00645967,0.004414517,0.3259216,0.533425,0.000565439],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8859764,0.00006396547,0.00265208,0.10883,0.00007652566,0.00004908154,0.000001852288,0.000007443429,0.002342629],"genre_scores_gemma":[0.9988009,0.0002759874,0.00008883939,0.0003392953,0.0003047095,6.512048e-7,7.492798e-7,0.00000204753,0.0001868731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6442229,"threshold_uncertainty_score":0.1815456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119676092398672,"score_gpt":0.2931931744813706,"score_spread":0.2819964135573839,"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."}}