{"id":"W4386960187","doi":"10.1111/imig.13183","title":"Drones: Robot eyes on racialized migrant bodies","year":2023,"lang":"en","type":"article","venue":"International Migration","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Drone; Political science; Sociology; Geography; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006275345,0.0001541305,0.000144348,0.0003754882,0.0005381457,0.0002431855,0.0002831731,0.0001286922,0.0006010797],"category_scores_gemma":[0.0007937979,0.0001425824,0.000127579,0.000337686,0.0001160222,0.000588481,0.00001945663,0.0001161115,0.001188596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002099899,"about_ca_system_score_gemma":0.0001199399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003369425,"about_ca_topic_score_gemma":0.06307518,"domain_scores_codex":[0.9980718,0.0001752132,0.0003582596,0.0002998284,0.0008432373,0.0002515904],"domain_scores_gemma":[0.9990769,0.000183446,0.0001570473,0.0001502149,0.0003553493,0.00007703278],"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":[0.0003357353,0.0003494213,0.01502437,0.00002024075,0.0001880128,0.00001468255,0.1611306,0.001707559,0.01360232,0.5071007,0.2651709,0.03535548],"study_design_scores_gemma":[0.0004627349,0.00009574577,0.01860372,0.00006998541,0.00001671058,9.367591e-7,0.004971148,0.00470424,0.002056592,0.01298459,0.9557472,0.0002864359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9086504,0.0001203132,0.003664408,0.02553915,0.004783279,0.0007082517,0.00006683996,0.0009172159,0.05555016],"genre_scores_gemma":[0.9704204,0.0006285065,0.0002178531,0.0005440729,0.001253398,0.0001103136,0.000484594,0.00001758961,0.02632334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6905763,"threshold_uncertainty_score":0.9995891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03209509256956057,"score_gpt":0.3539469085712371,"score_spread":0.3218518160016765,"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."}}