{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001411423,0.0002935866,0.0006236187,0.0001578458,0.001530703,0.00004271001,0.0002131748,0.00008361637,0.0335202],"category_scores_gemma":[0.0003655223,0.0002307528,0.0001723332,0.0001021661,0.000160934,0.0002805788,0.00004268471,0.0003604288,0.001548092],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0354634,"about_ca_system_score_gemma":0.0005090476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9722748,"about_ca_topic_score_gemma":0.9897866,"domain_scores_codex":[0.9981351,0.00006772492,0.0004930964,0.0004477788,0.0002346158,0.0006216561],"domain_scores_gemma":[0.9971085,0.00006826338,0.00009459389,0.0002875884,0.0004590107,0.001982002],"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":[6.509173e-7,0.00002584459,0.00002190741,0.0001754432,0.00003460708,0.00003462989,0.001056281,6.454699e-9,0.000001074909,0.002133073,0.9434652,0.05305126],"study_design_scores_gemma":[0.00007177848,0.00003109517,0.00008919682,0.0002377313,0.0001561805,0.000008940413,0.00006849715,0.000004774638,2.209574e-8,0.0001495896,0.9988089,0.0003733496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003703184,0.3802268,0.000003496071,0.5911516,0.003627148,0.001078772,0.001112423,0.0001053549,0.01899127],"genre_scores_gemma":[0.007826423,0.4074356,0.0009104523,0.1333109,0.005034266,0.0005286923,0.006143454,0.0001697455,0.4386405],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.4578407,"threshold_uncertainty_score":0.9997692,"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."}}