{"id":"W1819268281","doi":"10.1080/00083968.2000.10751209","title":"The Atlantic Slave Trade and Population Density: A Historical Demography of the Biafran Hinterland","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of African Studies / Revue canadienne des études africaines","topic":"Historical and Contemporary Political Dynamics","field":"Arts and Humanities","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demography; Geography; Atlantic slave trade; Population; History; Ancient history; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002511832,0.0001155603,0.0001004794,0.002057733,0.000881623,0.0008668883,0.0002781063,0.0002569388,0.002562254],"category_scores_gemma":[0.0004685945,0.000118709,0.0000775401,0.002282889,0.0007618436,0.0006711751,0.0005135498,0.0002438235,0.0002300474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494712,"about_ca_system_score_gemma":0.0003713612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1797072,"about_ca_topic_score_gemma":0.429863,"domain_scores_codex":[0.9999095,0.00002205931,0.000004928198,0.00002006861,0.000008851446,0.00003463559],"domain_scores_gemma":[0.9998803,0.00002964549,0.00004490437,0.000007494046,0.00002261157,0.00001496683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001312704,0.00004538754,0.8086963,0.0001756596,0.00004684885,0.001507504,0.1060532,0.0004577245,0.005142531,0.006040276,0.001383086,0.07032017],"study_design_scores_gemma":[0.000001858818,0.00002216999,0.9725437,0.00007162064,0.000006870852,0.0003735956,0.01690376,0.0001474311,0.0001301042,0.000143926,0.009644562,0.00001042256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960359,0.00101426,0.00005362418,0.0001762618,0.000003270051,0.00000309101,0.0001688202,0.000001851809,0.002542931],"genre_scores_gemma":[0.9980513,0.0006642731,0.00009316176,0.00001698026,0.000003476978,0.000004148552,0.0001196972,0.000001745859,0.001045385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1797072,"threshold_uncertainty_score":0.3573224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02842897369244717,"score_gpt":0.1947035633450588,"score_spread":0.1662745896526117,"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."}}