{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006657286,0.0006429211,0.000203709,0.000674745,0.003620135,0.00329704,0.0004680444,0.002044542,0.01787696],"category_scores_gemma":[0.003187499,0.0002070801,0.0004641721,0.0002003903,0.002708709,0.003297194,0.004396263,0.001735782,0.004078339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007836232,"about_ca_system_score_gemma":0.0004537714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003850155,"about_ca_topic_score_gemma":0.00910164,"domain_scores_codex":[0.999541,0.0002718477,0.00000869047,0.000054163,0.00005289823,0.00007135491],"domain_scores_gemma":[0.9993592,0.0003195872,0.00008011029,0.00006559884,0.0000910596,0.00008450027],"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":[0.0007013213,0.00007100828,0.01380106,0.0008619913,0.00006247638,0.00549971,0.340961,0.0006270557,0.01104509,0.07621625,0.3665324,0.1836206],"study_design_scores_gemma":[0.00002736008,0.0001290189,0.004328062,0.001090327,0.00003600034,0.002911528,0.1675345,0.0006336604,0.001672493,0.009178197,0.8123953,0.00006351363],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3325627,0.02361321,0.01767381,0.06845707,0.006828923,0.0001708359,0.000822243,0.001177707,0.5486935],"genre_scores_gemma":[0.8253742,0.007205483,0.009106257,0.01513851,0.001183146,0.0001336261,0.0003640165,0.0004585422,0.1410363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01787696,"threshold_uncertainty_score":0.05980438,"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."}}