{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003084535,0.00006564263,0.0001647116,0.000008259707,0.0003418148,0.00002759013,0.0001497064,0.00003655905,0.000124486],"category_scores_gemma":[0.001290135,0.00004326264,0.00004025194,0.00009990726,0.0005626829,0.00005587054,0.00006877451,0.00004884006,6.6725e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001982774,"about_ca_system_score_gemma":0.0000163982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008726045,"about_ca_topic_score_gemma":0.0535569,"domain_scores_codex":[0.9990202,0.0002541162,0.0002390204,0.0001463392,0.0002151323,0.0001252563],"domain_scores_gemma":[0.9989376,0.0006636909,0.0001390164,0.0001060831,0.00008154652,0.00007206239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001635876,0.00007402302,0.3918031,0.00004704787,0.00002854888,3.893177e-7,0.5896499,0.000007310501,0.008668759,0.00368962,0.0001292552,0.005738463],"study_design_scores_gemma":[0.001431448,0.0004806941,0.1355616,0.00005374583,0.00005421787,7.575355e-7,0.8195367,0.008382766,0.02595378,0.00169428,0.006456486,0.0003936068],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975977,0.0002239701,0.00007532076,0.001594149,0.00006261905,0.0001942081,0.00001038985,0.00001708719,0.0002245633],"genre_scores_gemma":[0.9997519,0.00008550486,0.00002441448,0.00004402504,0.00002766826,0.00000690552,0.000002734027,0.000002730695,0.00005408812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2562416,"threshold_uncertainty_score":0.9637132,"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."}}