{"id":"W4408218887","doi":"10.1163/23519924-11010001","title":"How to Analyse the Gap: Lost Knowledge and Migration – An Introduction","year":2025,"lang":"en","type":"article","venue":"Journal of Migration History","topic":"Diaspora, migration, transnational identity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Economic geography; Geography","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":[0.004514014,0.0009243644,0.0008912728,0.003992144,0.005542543,0.009063239,0.00253142,0.004998908,0.009440525],"category_scores_gemma":[0.008553133,0.0003473051,0.0006877702,0.00376891,0.01616003,0.01648184,0.00713539,0.006873947,0.001102534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004362438,"about_ca_system_score_gemma":0.003895172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0050888,"about_ca_topic_score_gemma":0.005267992,"domain_scores_codex":[0.9973391,0.001854834,0.0001302466,0.0001755125,0.000250748,0.0002494861],"domain_scores_gemma":[0.9937633,0.004610216,0.0003740599,0.000238297,0.000632662,0.00038149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005783207,0.00009612787,0.001904751,0.001592475,0.00003440313,0.001566032,0.1670448,0.0005008923,0.0005224376,0.6702142,0.06195304,0.09451301],"study_design_scores_gemma":[0.000008926296,0.00004718778,0.00181191,0.004888113,0.00001763267,0.001030012,0.1656811,0.0007223732,0.0003353356,0.2392693,0.5861341,0.00005394758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05978625,0.2469633,0.07194161,0.4134515,0.0255632,0.0006732498,0.0005615053,0.0003111753,0.1807482],"genre_scores_gemma":[0.6356298,0.1758726,0.06947172,0.03868906,0.01330783,0.001139172,0.0006354034,0.0005198237,0.06473444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009440525,"threshold_uncertainty_score":0.03165179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929681639079689,"score_gpt":0.307357135266172,"score_spread":0.2780603188753751,"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."}}