{"id":"W2973124542","doi":"10.1093/migration/mny046","title":"The Three Ages of Algerian Emigration.1 By Abdelmalek Sayad.","year":2018,"lang":"en","type":"article","venue":"Migration Studies","topic":"African history and culture studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emigration; Political science; Demographic economics; Economics; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004613601,0.00009071033,0.0001511732,0.00001815486,0.002852935,0.00002748328,0.0001448805,0.0000359737,0.00002722812],"category_scores_gemma":[0.0004450661,0.00005756547,0.00005418932,0.0002267147,0.001866029,0.0001254723,0.00003208577,0.00004425228,0.00002843713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005302798,"about_ca_system_score_gemma":0.00003435605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004983465,"about_ca_topic_score_gemma":0.1527932,"domain_scores_codex":[0.9990987,0.0001114076,0.0002098152,0.0001372456,0.0002748756,0.000167918],"domain_scores_gemma":[0.999052,0.0001875395,0.0001463172,0.0001210798,0.0004660491,0.00002697924],"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":[0.00002115783,0.00002740008,0.007420952,0.000006458887,0.0001791946,2.744032e-7,0.2365482,3.955103e-7,0.001146502,0.03906243,0.7113047,0.004282285],"study_design_scores_gemma":[0.00007586533,0.00007824956,0.002989478,0.00001045251,0.00002795357,9.977916e-8,0.1140743,0.000001329003,0.0004901522,0.001945691,0.8802112,0.00009521712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6725726,0.1049282,0.001649069,0.04289664,0.003237122,0.001271339,0.0000813548,0.0003845009,0.1729792],"genre_scores_gemma":[0.9891827,0.002538657,0.00009784902,0.0001311804,0.0004084987,0.00004498957,0.000002625235,0.000004572381,0.007588913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3166101,"threshold_uncertainty_score":0.9984452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03777637567832394,"score_gpt":0.3299948225571291,"score_spread":0.2922184468788052,"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."}}