{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002722767,0.0001853256,0.0002444609,0.0006074319,0.0001651527,0.00007179236,0.0008588828,0.0003233562,0.007528128],"category_scores_gemma":[0.0002880404,0.000180127,0.0002628134,0.00008461625,0.000377045,0.0001794809,0.00004154776,0.0001552208,0.0001258732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003657859,"about_ca_system_score_gemma":0.0001740236,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01416085,"about_ca_topic_score_gemma":0.03206154,"domain_scores_codex":[0.9984537,0.00007022481,0.0002611169,0.0002738747,0.0007525633,0.000188488],"domain_scores_gemma":[0.9987009,0.00004511456,0.0006191897,0.0003221062,0.0002283572,0.00008438143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008427479,0.00006395989,0.01328152,0.00001475027,0.0001542858,0.000002238048,0.001043152,3.648127e-7,0.000002194897,0.02842432,0.9405137,0.01649109],"study_design_scores_gemma":[0.0001354844,0.00001882159,0.001839118,0.0001673841,0.0000259242,3.134029e-7,0.0001339159,0.000003351744,0.000003762439,0.001370902,0.9961227,0.0001783813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006547468,0.0008499279,0.0001939865,0.0003789647,0.003229896,0.0002466273,0.0001760259,0.00009035906,0.9947687],"genre_scores_gemma":[0.001979103,0.01800383,0.0007632551,0.0000637202,0.00248987,0.000030976,0.0002373617,0.00008958128,0.9763423],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05560895,"threshold_uncertainty_score":0.9933791,"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."}}