{"id":"W3208941939","doi":"10.5281/zenodo.4019309","title":"Data Management Plan Exemplar #2: Digital Humanities and Secondary Data","year":2020,"lang":"en","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":"Queen's University; Western University","funders":"","keywords":"Digital humanities; Plan (archaeology); Data management; Computer science; Data science; Humanities; World Wide Web; Geography; Art; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01768046,0.001429615,0.001976993,0.01128269,0.002312581,0.006937347,0.005242677,0.002260296,0.2520716],"category_scores_gemma":[0.05898866,0.002060711,0.00141882,0.01951655,0.001508035,0.00343473,0.003234874,0.002299634,0.1313216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005200421,"about_ca_system_score_gemma":0.02120689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06967559,"about_ca_topic_score_gemma":0.04133547,"domain_scores_codex":[0.9882345,0.002686257,0.002205501,0.001494946,0.004074516,0.001304349],"domain_scores_gemma":[0.9365913,0.01586538,0.003154778,0.01413891,0.02649274,0.003756925],"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":[0.0008516328,0.0001453924,0.003170655,0.001650678,0.00004982326,0.000154923,0.0004269642,0.001769484,0.001148046,0.01095028,0.9431317,0.03655031],"study_design_scores_gemma":[0.0005188516,0.0001526801,0.008859468,0.0009181603,0.00006188643,0.00008175579,0.0006092316,0.002900501,0.004331378,0.004943001,0.9765117,0.0001114067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001114589,0.00004502486,0.01452852,0.000980454,0.0001572364,0.009356967,0.9431701,0.008646204,0.02200093],"genre_scores_gemma":[0.006995503,0.0002036816,0.06956568,0.0008232924,0.0001461039,0.03971821,0.8626752,0.002689596,0.01718275],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9947573,"threshold_uncertainty_score":0.8432636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.229009667221788,"score_gpt":0.2500355320880263,"score_spread":0.02102586486623831,"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."}}