{"id":"W4401149803","doi":"10.1111/imig.13292","title":"‘In‐betweeners’ in turbulent times: Migrants in the epicentre of diverse ‘crises’ in the Americas and Europe","year":2024,"lang":"en","type":"article","venue":"International Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Latin Americans; Political science; Politics; Geopolitics; Refugee; Development economics; Political economy; Sociology; History; Economics; Law","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":[0.001824205,0.0007987425,0.0008522535,0.002238459,0.006473581,0.01183119,0.001309173,0.004344925,0.007496661],"category_scores_gemma":[0.004370544,0.0003306079,0.000613859,0.003515128,0.004422491,0.009242033,0.006342229,0.005167361,0.001008654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001932676,"about_ca_system_score_gemma":0.00324627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005120456,"about_ca_topic_score_gemma":0.01235654,"domain_scores_codex":[0.9988355,0.0005094485,0.00007508678,0.0001418427,0.0001385451,0.0002994659],"domain_scores_gemma":[0.9973,0.001611142,0.0002863798,0.00006842422,0.0002320108,0.0005020732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001744607,0.0001607563,0.01791108,0.00270136,0.00008476929,0.002595027,0.4210256,0.0001453123,0.0005904523,0.03431529,0.4226789,0.09761685],"study_design_scores_gemma":[0.00001052771,0.00009224931,0.02677677,0.003172708,0.00003526666,0.0009980918,0.4211855,0.00009331882,0.0001190686,0.00550809,0.5419506,0.00005776134],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2414704,0.2276773,0.00154217,0.291904,0.1449202,0.0001421528,0.001353414,0.0001408555,0.09084947],"genre_scores_gemma":[0.5590823,0.2430566,0.001718952,0.06569889,0.09944322,0.0003564729,0.001469247,0.0004317338,0.02874254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01183119,"threshold_uncertainty_score":0.02507883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02397749463616251,"score_gpt":0.3315734837229105,"score_spread":0.307595989086748,"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."}}