{"id":"W3000827853","doi":"10.1080/07341512.2019.1680141","title":"Empires of knowledge: introduction","year":2019,"lang":"en","type":"article","venue":"History and Technology","topic":"Vietnamese History and Culture Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"State (computer science); Power (physics); Political science; History; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001412268,0.00004480972,0.0001192703,0.0001051326,0.0001950059,8.401578e-7,0.00007523548,0.0001123357,0.0003728686],"category_scores_gemma":[0.00007177076,0.0000426742,0.0000172451,0.0001412375,0.0007896891,0.0000555482,0.00002488509,0.00008413403,0.00005223812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001142609,"about_ca_system_score_gemma":0.0000607169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001525868,"about_ca_topic_score_gemma":0.0002580387,"domain_scores_codex":[0.9996213,0.00003443751,0.00007712947,0.00012887,0.00004871725,0.00008949068],"domain_scores_gemma":[0.9997588,0.000005633041,0.00004735873,0.0001030503,0.00006993608,0.00001525296],"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":[0.00001222137,0.0000594856,0.004468863,0.00004237546,0.00002073342,8.223979e-7,0.04917694,1.330239e-7,0.004247402,0.8357763,0.08998634,0.01620835],"study_design_scores_gemma":[0.00007444007,0.00004519843,0.0001437777,0.000004590834,0.000006755547,0.000001021328,0.00899836,2.770733e-7,0.00008443411,0.002283963,0.9883089,0.00004830196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4360384,0.05280429,0.0000111271,0.01362004,0.003796026,0.0002617964,0.000001195987,0.0003206783,0.4931464],"genre_scores_gemma":[0.9713714,0.0001187811,0.00005158778,0.0000141519,0.0001324491,0.000006405114,4.075104e-7,0.000002776519,0.0283021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8983225,"threshold_uncertainty_score":0.4082649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020516746872054,"score_gpt":0.2485913544431473,"score_spread":0.2383861869744267,"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."}}