{"id":"W2559766927","doi":"","title":"Unarrested Archives: Case Studies in Twentieth-Century Canadian Women's Authorship by Linda M. Morra (review)","year":2016,"lang":"en","type":"article","venue":"Archivaria","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"History; Library science; Media studies; Sociology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0008320915,0.0001421926,0.0002805432,0.0006227638,0.0008518494,0.0000753821,0.0003373458,0.0000696021,0.0007560818],"category_scores_gemma":[0.0008175527,0.0001407826,0.00007681988,0.0003958745,0.001125131,0.0001821926,0.00003714666,0.0002295142,0.0001816175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457665,"about_ca_system_score_gemma":0.001786889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8415136,"about_ca_topic_score_gemma":0.9823189,"domain_scores_codex":[0.9976818,0.0006040379,0.0002973214,0.000343173,0.0002344504,0.0008392246],"domain_scores_gemma":[0.9983577,0.0003942729,0.00008269851,0.0002737259,0.00002787994,0.0008637289],"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":[0.00004877448,0.0001469058,0.002688919,0.0005010888,0.0001890048,0.006609028,0.2902487,8.162025e-7,0.000263907,0.2321661,0.3451943,0.1219426],"study_design_scores_gemma":[0.0003275127,0.00002316585,0.0006673044,0.0005385837,0.00001691643,0.00003768027,0.004454705,9.382707e-7,9.613091e-7,0.01619184,0.9774822,0.0002581763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3722067,0.09609117,0.00008001901,0.04668793,0.009050264,0.003123899,0.001348864,0.0003752177,0.4710359],"genre_scores_gemma":[0.9343007,0.04291808,0.00009883073,0.002017054,0.0002659887,0.0001324142,0.00001288989,0.00002941297,0.02022462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.632288,"threshold_uncertainty_score":0.8278565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02840609170095583,"score_gpt":0.2950022397943201,"score_spread":0.2665961480933643,"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."}}