{"id":"W2014652847","doi":"10.3138/chr.694","title":"Illusionary Order: Online Databases, Optical Character Recognition, and Canadian History, 1997–2010","year":2013,"lang":"en","type":"article","venue":"Canadian Historical Review","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Historiography; Digitization; Scholarship; Newspaper; Globe; Order (exchange); History; Microform; Phenomenon; Comparative historical research; Character (mathematics); Computer science; Media studies; Political science; Database; Library science; Sociology; Law; Social science; Psychology; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00249429,0.0004197627,0.0003878651,0.008678816,0.009734436,0.007258395,0.001528435,0.0006957992,0.01401801],"category_scores_gemma":[0.01786591,0.0003642788,0.0002937403,0.02968892,0.00611959,0.003510662,0.002790395,0.001657195,0.0007085844],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1606533,"about_ca_system_score_gemma":0.1584975,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973056,"about_ca_topic_score_gemma":0.9986213,"domain_scores_codex":[0.9971661,0.0001682532,0.0001189878,0.0002616615,0.001736895,0.0005480534],"domain_scores_gemma":[0.9853274,0.001875416,0.001912953,0.000389362,0.009025803,0.001469221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002468922,0.0000682351,0.187753,0.001237397,0.0001246615,0.0007704768,0.07200642,0.0008341935,0.0002103391,0.172617,0.3236113,0.24052],"study_design_scores_gemma":[0.000009048397,0.00001717856,0.3416443,0.001270819,0.00009476118,0.0003039461,0.05878669,0.0004897427,0.0003960258,0.005696882,0.5911608,0.0001297898],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3221361,0.111128,0.001491174,0.1236844,0.001467091,0.000134551,0.03204305,0.0001547592,0.4077609],"genre_scores_gemma":[0.8927842,0.05164474,0.001149913,0.002689145,0.0003328173,0.00004107071,0.005950177,0.000122488,0.04528537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9927416,"threshold_uncertainty_score":0.9735233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0695560933680317,"score_gpt":0.216811728508248,"score_spread":0.1472556351402163,"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."}}