{"id":"W4244136473","doi":"10.1002/9781118786352.wbieg0771","title":"Safe Haven","year":2017,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Safe haven; Harm; Refugee; Haven; Politics; Context (archaeology); Term (time); Political science; Geography; Sociology; Law; Economics; Archaeology","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":[0.001514093,0.0005959538,0.0004224781,0.00157473,0.006219842,0.009504903,0.001518992,0.003255134,0.1145916],"category_scores_gemma":[0.005012229,0.0002415559,0.0005013453,0.002245846,0.005570575,0.008526294,0.008375078,0.00352816,0.0401177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003537017,"about_ca_system_score_gemma":0.006666771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006862507,"about_ca_topic_score_gemma":0.01421259,"domain_scores_codex":[0.9976161,0.0007364146,0.0001187535,0.0003121687,0.0007850576,0.0004315086],"domain_scores_gemma":[0.998752,0.000252429,0.000130998,0.0001733788,0.0003261205,0.0003651088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001798942,0.00002711613,0.0005050651,0.0002328151,0.00000420697,0.0002023156,0.009177014,0.00007023857,0.00009348274,0.6584991,0.254743,0.07642777],"study_design_scores_gemma":[0.000001165819,0.000004890137,0.0001735336,0.0001828516,0.000001024324,0.0001231826,0.002030946,0.000009395625,0.0000312965,0.008524206,0.988913,0.00000449664],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002243768,0.003692076,0.002146285,0.00808819,0.001082651,0.0000514928,0.000379798,0.0001631579,0.9821526],"genre_scores_gemma":[0.09127224,0.01199838,0.004482793,0.01056934,0.0006408921,0.0002204378,0.001210031,0.0004770968,0.8791288],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1145916,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008714393410620719,"score_gpt":0.2948031741181607,"score_spread":0.28608878070754,"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."}}