{"id":"W3206373183","doi":"10.5281/zenodo.4064168","title":"Data Management Plan Exemplar #1: Digital Humanities","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":"Simon Fraser University","funders":"","keywords":"Digital humanities; Plan (archaeology); Computer science; History; Library science; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02127428,0.001387093,0.001750768,0.009770493,0.002491553,0.008840504,0.004274373,0.002689881,0.1326449],"category_scores_gemma":[0.06384327,0.00182733,0.001086109,0.01754722,0.002148572,0.00549453,0.005125095,0.00282582,0.09283476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003777975,"about_ca_system_score_gemma":0.01257249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01253295,"about_ca_topic_score_gemma":0.005475501,"domain_scores_codex":[0.9817453,0.004624633,0.005113441,0.002487855,0.004717847,0.001310944],"domain_scores_gemma":[0.9309904,0.0202123,0.005612507,0.02134595,0.01850545,0.003333356],"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":[0.001730346,0.0003820086,0.007400879,0.005073186,0.00009876909,0.0003722647,0.001476564,0.001843107,0.003813263,0.03919502,0.8563625,0.08225211],"study_design_scores_gemma":[0.0004187424,0.0001614992,0.007054721,0.001135473,0.00006626256,0.0001432543,0.0009879805,0.001308863,0.006963613,0.006699645,0.9749569,0.0001030597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.002130443,0.00007995254,0.02139417,0.001086246,0.0001585204,0.01131703,0.93371,0.009265414,0.02085815],"genre_scores_gemma":[0.00947212,0.000196507,0.06229932,0.0006580185,0.00009516168,0.04013417,0.8758066,0.002140015,0.009198107],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1326449,"threshold_uncertainty_score":0.4437414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2057202833890787,"score_gpt":0.2445538070972459,"score_spread":0.0388335237081672,"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."}}