{"id":"W7092201158","doi":"10.5281/zenodo.17316537","title":"[Blank Template] Community Research Data Curation Log","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"Social Sciences and Humanities Research Council","keywords":"Data curation; Reading (process); Resource (disambiguation); Liability; Blank; Download; Linked data; Research data","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009812369,0.001435937,0.00154328,0.00694993,0.002251538,0.005270835,0.003458762,0.002617461,0.5938675],"category_scores_gemma":[0.07759124,0.002052385,0.001085731,0.0067703,0.00106383,0.007411737,0.005705812,0.003500029,0.5520005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981251,"about_ca_system_score_gemma":0.007126268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007981551,"about_ca_topic_score_gemma":0.009158876,"domain_scores_codex":[0.9940957,0.001456546,0.001129022,0.0006930662,0.002287047,0.0003386379],"domain_scores_gemma":[0.9351367,0.0242585,0.00326228,0.01207856,0.02281264,0.002451352],"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":[0.00003963023,0.00002114901,0.0001059494,0.0003507358,0.000003766856,0.00003866697,0.0001493227,0.00004252973,0.000163853,0.001239833,0.9746367,0.02320785],"study_design_scores_gemma":[0.00004030045,0.00001164255,0.0005365423,0.000338397,0.000004611394,0.00009592406,0.0001023172,0.0001714545,0.0004295447,0.002501857,0.9957267,0.00004078378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0008678962,0.0003684406,0.06906502,0.005412363,0.001617417,0.005647966,0.61666,0.1389813,0.1613795],"genre_scores_gemma":[0.007833713,0.0009191916,0.136968,0.007578989,0.0008724786,0.01810821,0.4873401,0.1045304,0.2358488],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4061325,"threshold_uncertainty_score":0.5792986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3069487405409542,"score_gpt":0.4006380373395212,"score_spread":0.09368929679856697,"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."}}