{"id":"W341594901","doi":"","title":"Would the digitization of historical documents lessen the value and experience of historical research","year":2014,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Digitization; Value (mathematics); History; Comparative historical research; Epistemology; Computer science; Data science; Sociology; Social science; Philosophy","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":[0.001457519,0.0001007204,0.0002081141,0.0001797902,0.0006493235,0.00004834792,0.001143259,0.000155916,0.000009686259],"category_scores_gemma":[0.0002952912,0.00007867296,0.00007358132,0.0006839166,0.0005204781,0.0008877577,0.0004974892,0.0004990346,0.000003302232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003503136,"about_ca_system_score_gemma":0.0001045094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003752321,"about_ca_topic_score_gemma":0.00002126093,"domain_scores_codex":[0.9981163,0.0004484439,0.0002026494,0.000313632,0.0006992387,0.0002196985],"domain_scores_gemma":[0.9984848,0.0003054661,0.0002545569,0.0005189844,0.0003619295,0.00007422356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005744149,0.000757702,0.4511849,0.0006698077,0.0001938706,0.00001731707,0.1054695,0.0002477181,0.06781042,0.07148866,0.0039739,0.2976118],"study_design_scores_gemma":[0.006004483,0.001768422,0.7127552,0.000925646,0.0002428091,0.0002839848,0.01302592,0.02221634,0.07214665,0.05860382,0.1104019,0.001624761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698918,0.0003506257,0.02490105,0.002821948,0.0002896351,0.0001358472,0.000001303814,0.00002574023,0.001581982],"genre_scores_gemma":[0.9956717,0.00003382983,0.00249647,0.00002485311,0.00003197693,4.929489e-7,7.979215e-7,0.000005419108,0.001734484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2959871,"threshold_uncertainty_score":0.4994137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03600537488103953,"score_gpt":0.2629705419478042,"score_spread":0.2269651670667647,"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."}}