{"id":"W4200559168","doi":"10.18357/bigr31202120266","title":"Rohingya Refugee Movement in Bangladesh: Insiders and Outsiders in Strengthening and Weakening of Borders","year":2021,"lang":"en","type":"article","venue":"Borders in Globalization Review","topic":"Asian Geopolitics and Ethnography","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Movement (music); Political science; Political economy; Sociology; Law; Aesthetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008783044,0.0001196092,0.0003275247,0.0001860668,0.00007177205,0.00003517131,0.00007984751,0.00008405104,0.00003030982],"category_scores_gemma":[0.0006700204,0.0001369488,0.00003682629,0.00133934,0.0002250728,0.0001668658,0.00005417725,0.0001105743,2.174261e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007827799,"about_ca_system_score_gemma":0.0001938757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002665474,"about_ca_topic_score_gemma":0.02351974,"domain_scores_codex":[0.9983565,0.0003075741,0.0005278163,0.0002696435,0.0002508065,0.0002877095],"domain_scores_gemma":[0.9995186,0.00007222723,0.0001471942,0.000120683,0.00007227778,0.00006907201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009298593,0.0001270062,0.765705,0.002326855,0.00003343792,0.00004650283,0.02790838,0.0004279816,0.0000073916,0.1392901,0.0006879717,0.06343009],"study_design_scores_gemma":[0.005980402,0.0001364505,0.13359,0.04658191,0.0001658897,0.000006624506,0.2888709,0.002157835,0.00006081268,0.07458903,0.4459145,0.001945682],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3499517,0.5368269,0.0006850504,0.02281115,0.0004130427,0.002273024,0.00002315963,0.00008535881,0.08693063],"genre_scores_gemma":[0.8565573,0.1390413,0.001660968,0.002622935,0.00001491647,0.00002424465,0.00002275975,0.00001580479,0.00003983058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.632115,"threshold_uncertainty_score":0.9942985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600342957548675,"score_gpt":0.3362885379773369,"score_spread":0.3202851084018502,"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."}}