{"id":"W2551391100","doi":"10.18356/da40aaf3-en","title":"Migration policies and patterns","year":2012,"lang":"pl","type":"book-chapter","venue":"IOM migration research series","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human migration; Business; Affect (linguistics); Demographic economics; Development economics; Labour economics; Economics; Sociology; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008788351,0.0001536154,0.0001563265,0.001274921,0.0009815065,0.002276011,0.0003578354,0.0004112594,0.01220578],"category_scores_gemma":[0.003058446,0.0001195169,0.0001655588,0.003094776,0.0009823785,0.001802908,0.001315068,0.000718787,0.002202799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713973,"about_ca_system_score_gemma":0.001413025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008854814,"about_ca_topic_score_gemma":0.01247059,"domain_scores_codex":[0.9994482,0.0001975447,0.00004979825,0.00008800218,0.000100434,0.0001159151],"domain_scores_gemma":[0.9994928,0.0001498036,0.0001113679,0.00004628485,0.0001226989,0.00007703104],"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":[0.00006714791,0.0000560345,0.02435951,0.0004901331,0.00002582766,0.000283132,0.01832227,0.001451364,0.0004231461,0.5974277,0.0548997,0.302194],"study_design_scores_gemma":[0.00001145127,0.00003614165,0.06037128,0.001179972,0.00001307647,0.0003211116,0.01388019,0.0004280635,0.0002130389,0.05567659,0.8678445,0.00002466247],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1893296,0.0240601,0.004329999,0.02550899,0.0008098013,0.0001262008,0.00224425,0.0001585699,0.7534325],"genre_scores_gemma":[0.7120794,0.04517161,0.00440617,0.002775688,0.0003899929,0.0002227602,0.001444969,0.0001956694,0.2333137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01220578,"threshold_uncertainty_score":0.0408324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09470906840607325,"score_gpt":0.378217503310057,"score_spread":0.2835084349039838,"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."}}