{"id":"W4386967646","doi":"10.1111/imig.13187","title":"Digital border technologies, techno‐racism and logics of exclusion","year":2023,"lang":"en","type":"article","venue":"International Migration","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Racism; Sociology; Political science; Criminology; Gender studies","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002064351,0.0003577952,0.0002411077,0.00138545,0.01487223,0.01797124,0.0006434035,0.003335409,0.009821653],"category_scores_gemma":[0.0037829,0.0002781264,0.0002262087,0.001522973,0.02124411,0.01305308,0.00576223,0.004058351,0.0006834649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01246612,"about_ca_system_score_gemma":0.003979374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03129524,"about_ca_topic_score_gemma":0.03713458,"domain_scores_codex":[0.9987531,0.0006066504,0.00003173587,0.0001661712,0.0002221952,0.0002201501],"domain_scores_gemma":[0.9983584,0.0008700468,0.0001857616,0.0001423727,0.0001822024,0.0002611209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002990658,0.00001713535,0.0007033609,0.00002928188,0.000003739209,0.0001118624,0.01475704,0.00007169045,0.00006262268,0.9326822,0.03384649,0.01768479],"study_design_scores_gemma":[0.00001742871,0.00001700723,0.002242801,0.0006225415,0.00001146877,0.0001843182,0.04390513,0.0003559588,0.0002163333,0.2397588,0.7126442,0.00002391867],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05800132,0.02252668,0.004434649,0.2723381,0.001047163,0.00002454366,0.000162232,0.0001173689,0.6413479],"genre_scores_gemma":[0.904995,0.01218195,0.001506905,0.01103671,0.0005197139,0.0001081954,0.00009758618,0.00009552964,0.06945846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9851277,"threshold_uncertainty_score":0.09044844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.032018207915396,"score_gpt":0.3842672834506215,"score_spread":0.3522490755352255,"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."}}