{"id":"W3119291134","doi":"","title":"The Continuous Spatial Vulnerability of Undocumented Migrants : connecting Experiences of “Displaceability” at Different Scales and Sites","year":2020,"lang":"en","type":"article","venue":"ACME","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Scale (ratio); Geography; Immigration; Environmental resource management; Economic geography; Sociology; Computer science; Environmental science; Computer security; Cartography; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001406538,0.0002688571,0.0004046852,0.001400058,0.006271192,0.004777094,0.0009229638,0.001119051,0.00342937],"category_scores_gemma":[0.004980535,0.000318129,0.0001989358,0.001238686,0.0106092,0.005347373,0.00881048,0.001643031,0.000144396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595157,"about_ca_system_score_gemma":0.001451503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02045401,"about_ca_topic_score_gemma":0.03460367,"domain_scores_codex":[0.9988173,0.0006325512,0.0000441438,0.00009660411,0.00008091536,0.0003284062],"domain_scores_gemma":[0.9986004,0.000459438,0.0003382692,0.0001607097,0.0001612602,0.0002797862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005544702,0.00003476904,0.04849373,0.00005862843,0.00002877311,0.0009072673,0.9302684,0.0001311057,0.0003990903,0.00905046,0.0008187282,0.00975366],"study_design_scores_gemma":[0.000002140828,0.00002483329,0.02283761,0.000100502,0.000008704445,0.0003314863,0.96867,0.00006064081,0.00005983896,0.002208966,0.005678596,0.00001674288],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929433,0.0002420856,0.0002176242,0.001254995,0.00001524468,0.000006071983,0.00002636724,0.00000383292,0.005290437],"genre_scores_gemma":[0.9992461,0.0001655597,0.00009103037,0.00008239852,0.000002680123,0.000006477154,0.00001279246,0.000002812444,0.0003900825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02045401,"threshold_uncertainty_score":0.04066992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844783194839189,"score_gpt":0.2950017458320771,"score_spread":0.2765539138836852,"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."}}