{"id":"W3213584307","doi":"10.1111/imig.12931","title":"The global governance of migration: Towards a ‘messy’ approach","year":2021,"lang":"en","type":"article","venue":"International Migration","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Blueprint; Corporate governance; Global governance; Political science; Political economy; Inscribed figure; Economic system; Sociology; Economics; Management; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007354437,0.0004732876,0.0005513655,0.001837356,0.002222532,0.009225975,0.001259944,0.002634464,0.002356708],"category_scores_gemma":[0.005330312,0.0002223101,0.0003944124,0.001379168,0.04460258,0.01017344,0.006955174,0.005326508,0.0002096521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005257435,"about_ca_system_score_gemma":0.003712789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002858885,"about_ca_topic_score_gemma":0.002845109,"domain_scores_codex":[0.9953699,0.003325023,0.0001084361,0.0004482272,0.0004303121,0.0003180675],"domain_scores_gemma":[0.9958062,0.002266426,0.0004516435,0.0007417396,0.0003913516,0.0003424932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002900667,0.000003441567,0.0002361732,0.0000222136,0.000003126633,0.00001868709,0.002592457,0.0008472087,0.00004811999,0.9933016,0.0008230715,0.002100862],"study_design_scores_gemma":[0.000003123031,0.000007255899,0.0003645638,0.00008666126,0.000002787778,0.00001484014,0.003034794,0.0007753178,0.00004283919,0.963985,0.031677,0.000005821039],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09357842,0.01662455,0.2180684,0.4009803,0.001898921,0.000130502,0.0001442686,0.000160063,0.2684146],"genre_scores_gemma":[0.9742105,0.003236884,0.01187925,0.006134978,0.0006751366,0.00008063496,0.00002968081,0.00004868764,0.00370427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009225975,"threshold_uncertainty_score":0.03889447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612358073072605,"score_gpt":0.3064327784312313,"score_spread":0.2903091977005053,"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."}}