{"id":"W3210954531","doi":"10.5281/zenodo.3420179","title":"Time to Professionalise Data Stewardship","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Stewardship (theology); Business; Computer science; Environmental resource management; Political science; Environmental science","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":[0.01923876,0.001091011,0.0008157775,0.00151308,0.009541357,0.0132163,0.002795005,0.00592857,0.1981265],"category_scores_gemma":[0.03410507,0.0008971214,0.001006654,0.0009274866,0.004253256,0.01114308,0.02634794,0.01025735,0.05260327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006688323,"about_ca_system_score_gemma":0.02272204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002525387,"about_ca_topic_score_gemma":0.005985551,"domain_scores_codex":[0.9830528,0.006591773,0.0006755665,0.001584397,0.003606224,0.004489184],"domain_scores_gemma":[0.9497256,0.008179716,0.001871041,0.001588562,0.004542795,0.03409232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002457505,0.0003973258,0.0006362653,0.0009456433,0.000009577341,0.0006844428,0.03291935,0.0002999536,0.002829587,0.02045061,0.8063813,0.1342002],"study_design_scores_gemma":[0.00002079838,0.00008499593,0.0007176513,0.0005155198,0.000002755515,0.0001039847,0.01487016,0.00006170454,0.0003898393,0.004933831,0.978273,0.00002573484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02950861,0.00528853,0.0457141,0.4422704,0.06684127,0.003283037,0.002030805,0.00322389,0.4018393],"genre_scores_gemma":[0.2640142,0.006998891,0.0505138,0.1015088,0.0107454,0.004801596,0.003288703,0.003112553,0.5550161],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9867837,"threshold_uncertainty_score":0.662799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.457153216930237,"score_gpt":0.4705597891402465,"score_spread":0.01340657221000957,"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."}}