{"id":"W2617544865","doi":"10.16995/dm.13","title":"Designing the Old English Newsletter bibliography database","year":2006,"lang":"en","type":"article","venue":"Digital Medievalist","topic":"Medieval Literature and History","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database; Bibliography; Computer science; Online database; Field (mathematics); Information retrieval; World Wide Web; Library science; Mathematics","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002257808,0.0002221548,0.0001834675,0.000814861,0.000456312,0.001331857,0.0003271193,0.00004349508,0.000798227],"category_scores_gemma":[0.00006894564,0.0001438111,0.0001710942,0.0004376867,0.00058212,0.0009516337,0.00005905916,0.0002560833,0.0001620792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001432867,"about_ca_system_score_gemma":0.00001598537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000270944,"about_ca_topic_score_gemma":0.0002977687,"domain_scores_codex":[0.998573,0.00004038876,0.0003014546,0.0002864363,0.0004418008,0.000356897],"domain_scores_gemma":[0.9990224,0.0001922859,0.00009449825,0.0004151711,0.0001857874,0.00008990243],"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":[0.00002064327,0.00006449842,0.0003336683,0.00003033418,0.00002427498,0.00002803471,0.006612549,6.638478e-7,0.00009542358,0.07617612,0.9161668,0.0004469426],"study_design_scores_gemma":[0.0002219074,0.00003548888,0.00007829092,0.00003881815,0.0000321373,0.000002773858,0.0009039902,0.000005220728,0.00008829345,0.001076026,0.9973009,0.0002161713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007354593,0.002043126,0.0000851455,0.001079808,0.003306309,0.0002642079,0.000541367,0.0002603933,0.985065],"genre_scores_gemma":[0.9314346,0.0000517319,0.0001173608,0.008095819,0.01683314,0.00006592013,0.001243927,0.00007816785,0.0420793],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9429858,"threshold_uncertainty_score":0.9997048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790370281332528,"score_gpt":0.1999144830692435,"score_spread":0.1820107802559182,"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."}}