{"id":"W7108341302","doi":"10.5281/zenodo.17725565","title":"Write it Down! Fostering Responsible Reuse of Cultural Heritage Data with Interoperable Dataset Descriptions","year":2025,"lang":"enc","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultural heritage; Interoperability; Documentation; Transparency (behavior); Reuse; Context (archaeology); Stewardship (theology); Linked data","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007756997,0.000243751,0.0002812512,0.0003091366,0.003032099,0.005582411,0.003209542,0.00006182485,0.02196108],"category_scores_gemma":[0.0005785597,0.0002167839,0.00004733796,0.0002782876,0.0007599613,0.002383585,0.007568345,0.0004275794,0.001705823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001219621,"about_ca_system_score_gemma":0.00001697511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001914795,"about_ca_topic_score_gemma":0.00008713594,"domain_scores_codex":[0.9978229,0.0003221577,0.0004801796,0.0005813133,0.0003584034,0.0004350519],"domain_scores_gemma":[0.9970278,0.00004405652,0.0001502957,0.001937964,0.0007151806,0.0001246633],"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":[0.0004359725,0.000255044,0.000002970424,0.0003815794,0.0001819786,0.00003022391,0.01044479,0.00001528068,0.0006434672,0.05115453,0.9285728,0.007881354],"study_design_scores_gemma":[0.0005861961,0.0004173839,0.00004863613,0.0005917292,0.00006861035,0.00003266131,0.01834398,0.0001180561,0.00009479121,0.0003009741,0.9791579,0.0002390448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06140205,0.0007761662,0.0002807631,0.002673492,0.0004114281,0.0008720726,0.04741587,0.0004416885,0.8857265],"genre_scores_gemma":[0.871124,0.0003772349,0.0002922969,0.0006292731,0.0002313509,1.317247e-7,0.04632068,0.0009010013,0.08012406],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8097219,"threshold_uncertainty_score":0.9990715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1667274208738247,"score_gpt":0.2943364504647682,"score_spread":0.1276090295909435,"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."}}