{"id":"W2972998107","doi":"10.26443/jiows.v3i1.59","title":"From the Cape to Canton: The Dutch Indian Ocean World, 1600-1800 — A Littoral Census","year":2019,"lang":"en","type":"article","venue":"The Journal of Indian Ocean World Studies","topic":"Asian Studies and History","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cape; Geography; Indigenous; Census; Colonialism; Littoral zone; Population; Ancient history; BENGAL; History; Economic history; Economy; Oceanography; Archaeology; Demography; Geology; 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":[0.0001643053,0.0003073329,0.0001320095,0.00332781,0.0006703857,0.001560759,0.0004560641,0.0001464519,0.01049415],"category_scores_gemma":[0.0006680119,0.0001823134,0.0001039317,0.01201887,0.0002794842,0.001152194,0.0009643671,0.0003472877,0.001562907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002018735,"about_ca_system_score_gemma":0.001694025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4252444,"about_ca_topic_score_gemma":0.6362228,"domain_scores_codex":[0.9998255,0.0000128897,0.00002849486,0.00003116782,0.00005839442,0.00004357948],"domain_scores_gemma":[0.9996156,0.00002060809,0.0001167252,0.00001534626,0.0001375246,0.00009415878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001785121,0.0001105714,0.5429867,0.001266701,0.00007276601,0.001492744,0.0371662,0.0003975173,0.003424147,0.006281688,0.1793928,0.2272297],"study_design_scores_gemma":[0.000004313659,0.00001131358,0.796333,0.0000943503,0.000006155247,0.0002531416,0.01021703,0.00009996894,0.0001497291,0.0001599086,0.1926582,0.0000129126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7222566,0.009508176,0.0003871648,0.001906661,0.0001680753,0.0001752888,0.1449687,0.00008712209,0.1205422],"genre_scores_gemma":[0.7928534,0.01680725,0.001364405,0.0002897847,0.0001508783,0.0002840584,0.1116006,0.00009887414,0.07655075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4252444,"threshold_uncertainty_score":0.8455384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805903696513915,"score_gpt":0.303382321064491,"score_spread":0.2753232840993518,"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."}}