{"id":"W7017330511","doi":"","title":""To be sold, a Negro wench" : slave ads of the Montreal Gazette, 1785-1805","year":2006,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Representation (politics); National identity; Identity (music); Presentation (obstetrics); Reading (process); Race (biology); National Identities","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00001795474,0.0003897618,0.0004009197,0.00004123592,0.00009518219,0.00001845379,0.0005740888,0.000147426,0.00009073943],"category_scores_gemma":[0.00001504349,0.0003183008,0.00009373405,0.00008972273,0.0001246555,0.000009057675,0.0004450106,0.000241869,1.730696e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007026493,"about_ca_system_score_gemma":0.00115737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02131583,"about_ca_topic_score_gemma":0.4956333,"domain_scores_codex":[0.9975,0.00008696077,0.0004270299,0.0003333027,0.001269702,0.0003830153],"domain_scores_gemma":[0.9985735,0.00005355107,0.0004661502,0.0006921881,0.000001548369,0.0002130881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002307154,0.00004873202,0.007271337,0.0005384183,0.0002912634,0.000008650112,0.0001095009,0.0003226809,0.02416746,0.001871283,0.9618466,0.003293381],"study_design_scores_gemma":[0.0003232269,0.00007456794,0.005325384,0.000171123,0.00004491478,0.000008643196,0.0001479153,0.0001194009,0.01229177,0.00005169546,0.9810659,0.0003754867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01063702,0.0005769506,0.0002700235,0.002260137,0.0002979532,0.0004246795,0.001710507,0.00001286865,0.9838099],"genre_scores_gemma":[0.05933798,0.0002316365,0.004505896,0.003511762,0.0003582437,0.00002011249,0.0003390193,0.0002303727,0.931465],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4743175,"threshold_uncertainty_score":0.9999269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002928739463123298,"score_gpt":0.1582059125084145,"score_spread":0.1552771730452912,"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."}}