{"id":"W4401543475","doi":"10.3828/coma.2022.3","title":"Linking Archives, Linked Open Data, and the Development of the World-Wide Directory of Repositories Holding Archives of Literature and Art","year":2022,"lang":"en","type":"article","venue":"Comma","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Directory; World Wide Web; Library science; Order (exchange); Computer science; Museology; History; Business; Archaeology","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0005516676,0.00008142147,0.0001927003,0.00008025138,0.0002845344,0.0001173461,0.002683894,0.00001219542,6.803692e-7],"category_scores_gemma":[0.0001139564,0.00004835843,0.00002117981,0.0002920926,0.0002758698,0.0002173904,0.009000209,0.0002623866,8.66677e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005562767,"about_ca_system_score_gemma":0.00008205215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007688403,"about_ca_topic_score_gemma":0.00002157292,"domain_scores_codex":[0.9990154,0.0002397477,0.0002741978,0.0002101307,0.000175231,0.00008531188],"domain_scores_gemma":[0.9980898,0.0008262735,0.0002816803,0.0007659983,0.00001922372,0.00001705578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004042927,0.0001683852,0.04709774,0.001070454,0.0001980961,0.00001589407,0.2189846,0.00001423477,0.08153369,0.1386425,0.001218248,0.5106518],"study_design_scores_gemma":[0.002837723,0.0001644683,0.05864292,0.006335331,0.00009730158,0.0001326016,0.0009216248,0.0167935,0.5013632,0.3218733,0.08993395,0.0009040118],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4933108,0.1799453,0.2898493,0.01020791,0.001912926,0.004347177,0.0001785335,0.0005319921,0.01971608],"genre_scores_gemma":[0.7167622,0.00002275148,0.2827857,0.00006301144,0.00001280661,0.00001278912,0.000006773525,0.000004753339,0.0003292064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5097478,"threshold_uncertainty_score":0.9990148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02290349481246163,"score_gpt":0.285432571072235,"score_spread":0.2625290762597733,"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."}}