{"id":"W2091298355","doi":"10.1371/journal.pmed.1001043","title":"Migration and \"Low-Skilled\" Workers in Destination Countries","year":2011,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Deportation; Migrant workers; Occupational safety and health; Flexibility (engineering); Business; Work (physics); Human migration; Economic growth; Immigration; Demographic economics; Population; Environmental health; Political science; Medicine; Economics; Law","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":[0.0003320391,0.00008047145,0.0001663072,0.0001033746,0.0001986076,9.075881e-7,0.00003522836,0.00005916953,0.0003642754],"category_scores_gemma":[0.000396281,0.00005707503,0.000006112329,0.0001179636,0.0001022402,0.00007823649,0.00002718076,0.0001475802,0.00003174227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004085775,"about_ca_system_score_gemma":0.00002860056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002346912,"about_ca_topic_score_gemma":0.003751854,"domain_scores_codex":[0.9992023,0.00009671649,0.0002622977,0.0001192446,0.0001415,0.0001779017],"domain_scores_gemma":[0.9994614,0.0002518881,0.00008273507,0.00007547545,0.00008640335,0.00004213253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003941863,0.000023214,0.9690177,0.0001029189,0.00001034617,0.000002807409,0.02544494,2.854129e-8,0.00005987002,0.0009222278,0.004045433,0.0003310905],"study_design_scores_gemma":[0.001015923,0.0001035661,0.9879836,0.0009797558,0.00002519051,2.636935e-7,0.007155681,0.00003456486,0.00002860608,0.00106073,0.001546266,0.00006586716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753448,0.0005405679,0.0000191836,0.008631579,0.0002190383,0.0003887237,9.82847e-7,0.00005244584,0.01480273],"genre_scores_gemma":[0.9969515,0.0005274651,0.00005820653,0.000692836,0.0001742767,0.00008869766,0.000009678256,0.000008717489,0.001488681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02160669,"threshold_uncertainty_score":0.398856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0849628134214323,"score_gpt":0.3738607032958202,"score_spread":0.2888978898743879,"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."}}