{"id":"W3197866366","doi":"10.3138/seminar.57.3.1","title":"The Global Medieval Sourcebook: Creating a Sustainable Digital Anthology of Medieval Texts and Translations","year":2021,"lang":"en","type":"article","venue":"Seminar A Journal of Germanic Studies","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital curation; Work (physics); Relevance (law); Digital collections; Digital humanities; World Wide Web; Computer science; Library science; History; Engineering; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005126327,0.000154335,0.0003957743,0.00003856161,0.0008247696,0.0003868355,0.0001672377,0.00003241573,0.00006856393],"category_scores_gemma":[0.0005848961,0.0001014295,0.0001652889,0.00004828019,0.0009526152,0.0005647977,0.0001331814,0.0001834434,0.000001858804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005518116,"about_ca_system_score_gemma":0.0001153684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004595795,"about_ca_topic_score_gemma":0.0001595683,"domain_scores_codex":[0.9986139,0.00006696041,0.0005785247,0.0001173935,0.0003227521,0.0003004692],"domain_scores_gemma":[0.9978215,0.0007145632,0.0003365433,0.0001139153,0.0009485096,0.00006497213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003368271,0.0002287942,0.002014465,0.0003851613,0.001719968,0.001015112,0.2461845,0.000005307013,0.00007277633,0.7174156,0.005588482,0.02503296],"study_design_scores_gemma":[0.001226048,0.0007769175,0.001445714,0.000494383,0.0003871306,0.001377445,0.6835078,0.00001322639,0.0002064044,0.06076858,0.2494852,0.000311111],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8143998,0.07999649,0.000009537443,0.001428886,0.0005430218,0.0001182825,0.00005962692,0.00001467169,0.1034297],"genre_scores_gemma":[0.9850021,0.001264272,0.00001590857,0.00005379438,0.000488307,0.000002151875,0.000001915659,0.00001052007,0.01316106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.656647,"threshold_uncertainty_score":0.6343544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03546856296711515,"score_gpt":0.2891091573678831,"score_spread":0.253640594400768,"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."}}