{"id":"W3100801867","doi":"10.14361/9783839450130","title":"Refugee Routes : Telling, Looking, Protesting, Redressing","year":2020,"lang":"en","type":"book","venue":"","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Political science; Development economics; Law; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005796907,0.0004370204,0.0002809495,0.0006325829,0.004621639,0.007798864,0.0007312294,0.001634776,0.00713861],"category_scores_gemma":[0.001459648,0.0001894672,0.0001863027,0.0009155349,0.01007363,0.004983842,0.003324887,0.002689424,0.002220365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123933,"about_ca_system_score_gemma":0.001893828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00437671,"about_ca_topic_score_gemma":0.01573171,"domain_scores_codex":[0.9995784,0.0002334525,0.000009955725,0.00003269198,0.00008518543,0.00006022531],"domain_scores_gemma":[0.9997049,0.0001482275,0.00003338668,0.00002317817,0.00002824075,0.00006201994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003478026,0.0000324645,0.0007039586,0.0003386603,0.00000762379,0.00119456,0.5980198,0.00008962633,0.0007456392,0.2369556,0.09865886,0.06321844],"study_design_scores_gemma":[0.000002919563,0.00001768298,0.0005612288,0.0003627343,0.000004091875,0.0007356664,0.3314127,0.00002721866,0.0001734404,0.008833357,0.6578602,0.000008798865],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07235552,0.03616382,0.00299935,0.02561629,0.003886276,0.00008695515,0.0001473258,0.0001623107,0.8585822],"genre_scores_gemma":[0.4450711,0.03069785,0.002869483,0.005261063,0.0006032646,0.0001055694,0.0001517762,0.0002959502,0.514944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007798864,"threshold_uncertainty_score":0.02388102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02981361082120109,"score_gpt":0.3032759875042816,"score_spread":0.2734623766830805,"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."}}