{"id":"W4229577711","doi":"10.14426/ahmr.v3i2.822","title":"AFRICAN HUMAN MOBILITY REVIEW","year":2017,"lang":"en","type":"article","venue":"AFRICAN HUMAN MOBILITY REVIEW","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Balsillie School of International Affairs","funders":"European Commission; International Development Research Centre","keywords":"Surprise; Supporter; White (mutation); Immigration; Terrorism; Misinformation; Political science; Human trafficking; Media studies; History; Political economy; Criminology; Sociology; Law; Genealogy","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006656613,0.0003722647,0.00114402,0.00004610551,0.003687169,0.0002761762,0.001955185,0.000133951,0.005665845],"category_scores_gemma":[0.002331499,0.00033551,0.0005148247,0.0003973207,0.001604327,0.0004735992,0.0002631275,0.0004276715,0.0002417947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003782639,"about_ca_system_score_gemma":0.0002845104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004053914,"about_ca_topic_score_gemma":0.0348851,"domain_scores_codex":[0.99524,0.001273642,0.001100473,0.0008858943,0.0008255074,0.0006745016],"domain_scores_gemma":[0.9949437,0.0001310373,0.0009237106,0.003043501,0.000481354,0.0004766515],"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":[0.0000212676,0.003704164,0.02581605,0.06248613,0.0003033474,0.00004229815,0.01945641,0.000001484815,0.0002358425,0.5445718,0.2028575,0.1405037],"study_design_scores_gemma":[0.000164386,0.00007983063,0.01252876,0.005202815,0.0002123413,0.000001134237,0.0005149735,0.000003874271,0.000002117988,0.003548932,0.9772312,0.0005096468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06275147,0.3307827,0.00004965828,0.03240804,0.000563051,0.01043472,0.0001891643,0.0007489579,0.5620722],"genre_scores_gemma":[0.7690575,0.2192775,0.00009946944,0.003669209,0.0002663759,0.0004384988,0.00005229812,0.00003511972,0.007103958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7743737,"threshold_uncertainty_score":0.9999097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06528613116078946,"score_gpt":0.3978412775333037,"score_spread":0.3325551463725142,"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."}}