{"id":"W3214428060","doi":"10.3390/soc11040135","title":"Digitalization and Artificial Intelligence in Migration and Mobility: Transnational Implications of the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Societies","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Context (archaeology); Transparency (behavior); Software deployment; Political science; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computer science; Computer security; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.002270267,0.0002228893,0.0001797027,0.001551128,0.002373164,0.006244563,0.0004262635,0.001628428,0.003899962],"category_scores_gemma":[0.004811978,0.0001321559,0.0002301097,0.00239751,0.009225644,0.008953266,0.004963236,0.002129387,0.0002296639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003645315,"about_ca_system_score_gemma":0.00235291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004937219,"about_ca_topic_score_gemma":0.007146196,"domain_scores_codex":[0.9983662,0.001067433,0.00006138149,0.0001297177,0.0001652597,0.0002099304],"domain_scores_gemma":[0.9969285,0.001894573,0.0004270659,0.0002334682,0.0003027837,0.0002134675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004620083,0.00003359349,0.00812523,0.0003854921,0.00001984598,0.0005605555,0.02260739,0.001613973,0.0002998369,0.8526266,0.005858739,0.1078225],"study_design_scores_gemma":[0.00001323242,0.00007954692,0.0192291,0.003239322,0.00004450954,0.0009721308,0.1166455,0.002936931,0.0008904256,0.4183362,0.4375426,0.00007056815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3360757,0.06256825,0.02309432,0.1783573,0.0009712783,0.00009127957,0.0002698213,0.00008057569,0.3984916],"genre_scores_gemma":[0.9597768,0.03000696,0.002598235,0.00305976,0.0001963694,0.00003838467,0.00005793989,0.000017709,0.004247974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006244563,"threshold_uncertainty_score":0.02644873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0679220246851319,"score_gpt":0.3185245823463985,"score_spread":0.2506025576612666,"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."}}