{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000528381,0.0001193012,0.0001257757,0.00002400806,0.0004466115,0.0002400276,0.0003578752,0.0001113795,0.0002156738],"category_scores_gemma":[0.0009048237,0.00009621374,0.0001341871,0.0004032413,0.0001831137,0.0005554931,0.00003162616,0.00009727038,0.00002328018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003507306,"about_ca_system_score_gemma":0.0006050386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003611949,"about_ca_topic_score_gemma":0.1090513,"domain_scores_codex":[0.9979982,0.0002138363,0.0004317999,0.0002534093,0.0009235597,0.0001792042],"domain_scores_gemma":[0.9982069,0.00008985049,0.0002933934,0.0002105993,0.001140689,0.00005859479],"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":[0.00004375142,0.0001496482,0.01167503,0.000007669041,0.00006594864,0.000001491745,0.006900571,0.0001372084,0.0006183228,0.9426135,0.01571764,0.02206919],"study_design_scores_gemma":[0.0003270382,0.0000382456,0.0400581,0.00003894581,0.0000242949,0.000008648712,0.005023126,0.004991289,0.003868895,0.01335604,0.9320635,0.0002019235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5022278,0.003394192,0.04584395,0.04892248,0.005160751,0.0007864323,0.0002696836,0.0001912453,0.3932035],"genre_scores_gemma":[0.9871697,0.001965008,0.00155723,0.0002046963,0.0007326308,0.00005136871,0.00021897,0.000007207655,0.008093123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9292575,"threshold_uncertainty_score":0.9072062,"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."}}