{"id":"W7139947847","doi":"10.63744/pd5j52nbd8yj","title":"Bibliographic Translation Data: Invisibility, Research Challenges, Institutional and Editorial Practices","year":2024,"lang":"en","type":"article","venue":"Digital humanities quarterly","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Invisibility; Metadata; Parallels; Publishing; German; National library","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics","scholarly_communication"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4089411,0.00107188,0.00295191,0.04715553,0.01337613,0.05104817,0.007219833,0.004405531,0.006874366],"category_scores_gemma":[0.7325638,0.002808215,0.001684878,0.07983746,0.04270336,0.04720783,0.02018216,0.005845631,0.004270387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01258848,"about_ca_system_score_gemma":0.02562082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01018491,"about_ca_topic_score_gemma":0.01252287,"domain_scores_codex":[0.4080975,0.3577683,0.080581,0.03627545,0.1136706,0.003607157],"domain_scores_gemma":[0.1071866,0.6699567,0.04764087,0.1116547,0.06154431,0.002016815],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002453333,0.0001955432,0.05771684,0.01062351,0.0004937096,0.0007908336,0.2204813,0.001069779,0.002161289,0.2159712,0.02117528,0.4690754],"study_design_scores_gemma":[0.00009965229,0.0001455618,0.03391028,0.02168726,0.0005173392,0.002282131,0.2051192,0.003850837,0.005790204,0.2400305,0.4861726,0.0003943941],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2027944,0.06855141,0.3372882,0.2051269,0.006432931,0.004175365,0.009399218,0.002360699,0.1638708],"genre_scores_gemma":[0.6839221,0.02357038,0.244904,0.01407058,0.006215009,0.004756634,0.006382878,0.0028073,0.01337106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9528445,"threshold_uncertainty_score":0.7288809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4606323635174598,"score_gpt":0.4037788597577989,"score_spread":0.05685350375966086,"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."}}