{"id":"W4226178896","doi":"10.1002/wom3.25","title":"4 Migration Research and Analysis: Recent United Nations Contributions","year":2022,"lang":"en","type":"article","venue":"World Migration Report","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":208,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Excellence; Library science; Citation; Political science; Management; Sociology; Law; Computer science; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02288822,0.001825355,0.0009324383,0.02097155,0.002216257,0.007220082,0.00110282,0.001905522,0.01377149],"category_scores_gemma":[0.04420796,0.0005455818,0.001353736,0.02647671,0.002115492,0.003913617,0.005161251,0.003273658,0.002674472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004321769,"about_ca_system_score_gemma":0.02001587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0462476,"about_ca_topic_score_gemma":0.07451458,"domain_scores_codex":[0.9888993,0.006412765,0.0007852641,0.0006126492,0.002782883,0.000507139],"domain_scores_gemma":[0.9655523,0.01422455,0.002523665,0.002170542,0.01424124,0.001287806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000136293,0.0002254527,0.02135453,0.002170564,0.0002102154,0.0001034692,0.000471825,0.001433084,0.0003028442,0.05658171,0.3513614,0.5656486],"study_design_scores_gemma":[0.00001549047,0.00005779049,0.02343672,0.006245398,0.0002222925,0.00010897,0.001659299,0.00119121,0.0005803757,0.01309733,0.9533423,0.00004283122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01061092,0.4139368,0.02038394,0.2473531,0.07475657,0.0007919084,0.01468846,0.0004809052,0.2169974],"genre_scores_gemma":[0.07878932,0.6908829,0.08507533,0.02930777,0.03333111,0.001089188,0.01257466,0.0006911869,0.0682586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0462476,"threshold_uncertainty_score":0.1210459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0518414265824181,"score_gpt":0.4002467948681678,"score_spread":0.3484053682857498,"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."}}