{"id":"W2619435005","doi":"10.16995/dm.12","title":"P5-MS: A general purpose tagset for manuscript description","year":2006,"lang":"en","type":"article","venue":"Digital Medievalist","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Natural language processing; Library science; Humanities; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01496538,0.002385478,0.001302156,0.007116447,0.002116122,0.006092594,0.00278121,0.003404622,0.1384351],"category_scores_gemma":[0.07127955,0.002053938,0.001343476,0.00476975,0.0010978,0.00913366,0.00579536,0.003463575,0.1693753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001924682,"about_ca_system_score_gemma":0.003840414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001218395,"about_ca_topic_score_gemma":0.001461945,"domain_scores_codex":[0.9919184,0.002272715,0.002254314,0.0006336629,0.002435368,0.0004854715],"domain_scores_gemma":[0.909713,0.04730627,0.007206043,0.01580284,0.01655855,0.003413377],"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":[0.001458853,0.0001400257,0.001663974,0.00173864,0.00005591958,0.0004336523,0.0005357976,0.0005298061,0.009699031,0.009002218,0.7440116,0.2307304],"study_design_scores_gemma":[0.0001672187,0.0001898562,0.001395853,0.0004347008,0.00003036248,0.0006133241,0.0002388005,0.004092687,0.01738084,0.008618362,0.966642,0.0001960791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00443408,0.0006045986,0.5799413,0.005229845,0.006827417,0.003140248,0.1097823,0.2526221,0.0374181],"genre_scores_gemma":[0.03516528,0.001216667,0.5737968,0.006947736,0.003178125,0.006737899,0.1691319,0.1089501,0.09487548],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9939074,"threshold_uncertainty_score":0.4631115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0536933506582172,"score_gpt":0.2302123960540938,"score_spread":0.1765190453958766,"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."}}