{"id":"W6892598741","doi":"10.5281/zenodo.10404001","title":"Exporting Institutional Repository Metadata as Dataset","year":2023,"lang":"en","type":"other","venue":"King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Metadata; JSON; Download; Process (computing); Work (physics); Information repository; Set (abstract data type)","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006105439,0.001033702,0.0009705094,0.01232127,0.001579449,0.007712295,0.002545681,0.00137422,0.0713832],"category_scores_gemma":[0.02830746,0.0008292157,0.001030387,0.01792982,0.0006357321,0.007625933,0.00548904,0.002743636,0.07472166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002376129,"about_ca_system_score_gemma":0.005276592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009232921,"about_ca_topic_score_gemma":0.007632615,"domain_scores_codex":[0.9946266,0.0007481028,0.001389317,0.000878953,0.001971883,0.000385164],"domain_scores_gemma":[0.968743,0.003249412,0.00161939,0.01564552,0.00927046,0.001472216],"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":[0.0002308277,0.0001976069,0.00573543,0.0006220774,0.00003967099,0.0002376594,0.0005295214,0.00106305,0.002995562,0.01627353,0.8706376,0.1014374],"study_design_scores_gemma":[0.00004181317,0.00001900094,0.003329723,0.0001821326,0.00001987121,0.0001325218,0.0004017536,0.001316186,0.005384945,0.004365974,0.984738,0.000068001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.005035019,0.000167005,0.04767839,0.001745516,0.0007321498,0.0009966042,0.8136675,0.07417294,0.05580491],"genre_scores_gemma":[0.009725131,0.0002348811,0.0469139,0.00034881,0.0001286455,0.0006949151,0.9137865,0.01231576,0.01585148],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9922877,"threshold_uncertainty_score":0.2388006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02354156676388785,"score_gpt":0.2521736648373227,"score_spread":0.2286320980734348,"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."}}