{"id":"W6968727131","doi":"10.5281/zenodo.3554248","title":"Integrating Research Data Management workflows into Islandora 8x","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Metadata; Workflow; Identifier; RDM; Data management; Data management plan; Data integration; Leverage (statistics); Data sharing; Metadata management; Data publishing","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.03326434,0.001041312,0.001179023,0.008281069,0.002757119,0.01419064,0.004064776,0.001171327,0.03089206],"category_scores_gemma":[0.04224016,0.001591053,0.002053211,0.007265302,0.001854214,0.01423039,0.01421158,0.003128856,0.01784336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003826028,"about_ca_system_score_gemma":0.0118373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01800959,"about_ca_topic_score_gemma":0.02257839,"domain_scores_codex":[0.9881995,0.003348193,0.002179436,0.0024198,0.003247226,0.0006058629],"domain_scores_gemma":[0.953917,0.00945095,0.002068723,0.0237831,0.00730506,0.003475055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008498348,0.000297931,0.01027212,0.001390502,0.0003431425,0.0005368852,0.00958271,0.002024142,0.006332485,0.07866081,0.385404,0.5043054],"study_design_scores_gemma":[0.00008007839,0.0000567213,0.003334076,0.0003467193,0.00003972789,0.0001558934,0.001157569,0.004653562,0.002772181,0.02125008,0.9660386,0.0001147209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01416405,0.001508268,0.4576336,0.007227382,0.00123384,0.003311748,0.03211845,0.3585609,0.1242417],"genre_scores_gemma":[0.03503316,0.001215781,0.8297476,0.001378863,0.0002633534,0.003050467,0.06004357,0.02392736,0.04533989],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9959352,"threshold_uncertainty_score":0.1759207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3637901414625418,"score_gpt":0.4603262435461004,"score_spread":0.09653610208355856,"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."}}