{"id":"W4321379061","doi":"10.1111/imig.13116","title":"Letter from the editors","year":2023,"lang":"en","type":"letter","venue":"International Migration","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Forced migration; Political science; Displaced person; Mass migration; Internally displaced person; Latin Americans; Politics; Emigration; Witness; Development economics; Immigration; Economic growth; Political economy; Law; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003744235,0.0001741487,0.0001352199,0.0000994312,0.0003563932,0.000329521,0.0009089068,0.0004915546,0.0009965899],"category_scores_gemma":[0.0002691062,0.0001430419,0.0001553239,0.0001229622,0.0002031505,0.0002570221,0.00006948776,0.0006920986,0.002485748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005699784,"about_ca_system_score_gemma":0.0002191016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01258184,"about_ca_topic_score_gemma":0.005339424,"domain_scores_codex":[0.9980022,0.0001793961,0.0003016847,0.0003425396,0.0009323609,0.00024176],"domain_scores_gemma":[0.9984187,0.0009949758,0.0002327671,0.0001827613,0.0001422256,0.00002858321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001881375,0.00000360079,0.0009839354,7.464386e-7,0.0001076846,0.00001589416,0.002665248,0.00000389237,0.000001413679,0.0003778589,0.9949799,0.0008579002],"study_design_scores_gemma":[0.00006883438,0.000002296585,0.002977473,0.00002856953,0.00001399089,2.375304e-7,0.0001990428,0.00001977185,0.000002442456,0.003365187,0.9931558,0.0001663971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000503725,0.00001653194,0.00005474996,0.9541109,0.03034114,0.0001490383,0.0001372094,0.0001477161,0.01453894],"genre_scores_gemma":[0.0005267823,0.00009126655,0.00008110952,0.6512289,0.2636741,0.00008716451,0.00283612,0.00003592543,0.08143861],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.302882,"threshold_uncertainty_score":0.9999166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03545939260591357,"score_gpt":0.2956593909135055,"score_spread":0.2601999983075919,"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."}}