{"id":"W6930451332","doi":"10.5281/zenodo.13619253","title":"Ethical Open Science for Past Global Change Data: Building technical and social capacity in data systems and practitioners in support of ethical open science practices such as the CARE and FAIR principles (update, slides)","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Capacity building; Open data; Open science; Data system; Social change; Work (physics)","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":[0.09760306,0.0005012183,0.0006710124,0.002788966,0.00607232,0.01814603,0.003056984,0.01108913,0.01588482],"category_scores_gemma":[0.1600959,0.0007636601,0.0007130376,0.002112859,0.01782567,0.02441789,0.01703689,0.01854302,0.005926485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006909405,"about_ca_system_score_gemma":0.03410728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008074936,"about_ca_topic_score_gemma":0.02682845,"domain_scores_codex":[0.9594734,0.0189961,0.002726241,0.001461741,0.01546148,0.00188096],"domain_scores_gemma":[0.8283129,0.1011428,0.006084057,0.01378066,0.03096976,0.01970996],"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":[0.00001466604,0.00003908437,0.0003385028,0.0002543566,0.00001042972,0.00006103894,0.003385206,0.0001012396,0.000197902,0.06115988,0.7888067,0.1456311],"study_design_scores_gemma":[0.000008955312,0.00001631566,0.0005542847,0.000797651,0.00000511772,0.0001097948,0.001885066,0.0001005586,0.0002476012,0.05766726,0.9385738,0.00003367862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001011065,0.01666716,0.0191831,0.8912762,0.02608449,0.0001979269,0.0002600628,0.00067275,0.04464721],"genre_scores_gemma":[0.09255502,0.0632896,0.143447,0.5087957,0.04630358,0.001601177,0.001759176,0.003435735,0.138813],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.996943,"threshold_uncertainty_score":0.5161805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2179285770033301,"score_gpt":0.4059440163181221,"score_spread":0.188015439314792,"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."}}