{"id":"W4235233753","doi":"10.16995/dm.33","title":"Preface","year":2012,"lang":"en","type":"article","venue":"Digital Medievalist","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Honor; Library science; Columbia university; Medieval studies; Classics; History; Art history; Media studies; Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000118754,0.0001472534,0.000132429,0.00004445935,0.0001981419,0.001332683,0.0001811981,0.00002640689,0.002830264],"category_scores_gemma":[0.00009180434,0.0001203432,0.00008862336,0.0000194081,0.0002675432,0.003210465,0.00006701238,0.000107257,0.001507667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002883101,"about_ca_system_score_gemma":0.00001048599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001478867,"about_ca_topic_score_gemma":0.00003291752,"domain_scores_codex":[0.9989972,0.000009163663,0.0001800569,0.0001213901,0.0002696363,0.0004225729],"domain_scores_gemma":[0.9994487,0.00005808371,0.00004556163,0.0001868065,0.00006586179,0.0001949793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001470141,0.0001753067,0.001700351,0.00002539498,0.00002772473,0.000003356537,0.01701039,1.095792e-7,0.000003522966,0.9372109,0.030416,0.01341231],"study_design_scores_gemma":[0.0001150012,0.00004058091,0.0002793524,0.00001519452,0.000008025534,0.000005071799,0.003530411,0.0000014552,0.00002717249,0.002958273,0.9928319,0.0001875123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1190473,0.0003867035,0.000002925616,0.0001310474,0.001316162,0.00008539518,0.0001380756,0.0001493974,0.878743],"genre_scores_gemma":[0.8932215,0.000002431331,0.000005545309,0.0003819898,0.001762975,0.00001010226,0.00007170323,0.00002270153,0.1045211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9624159,"threshold_uncertainty_score":0.999704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06025328501065745,"score_gpt":0.2421169072210236,"score_spread":0.1818636222103662,"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."}}