{"id":"W6913389497","doi":"10.5683/sp2/7dulus","title":"University of Guelph Research Data Repositories admin guide and curation report template","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data curation; Workflow; Data archive; Digital curation; Research data; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01809105,0.001799318,0.003275435,0.01117149,0.002338402,0.006522709,0.004628798,0.001646195,0.2116063],"category_scores_gemma":[0.07610244,0.002715657,0.001630564,0.01504737,0.001521566,0.005053543,0.005983693,0.002672332,0.3476616],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003904372,"about_ca_system_score_gemma":0.01485196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04086176,"about_ca_topic_score_gemma":0.06240857,"domain_scores_codex":[0.9885809,0.002427147,0.00218073,0.002052894,0.004150417,0.0006079365],"domain_scores_gemma":[0.9342812,0.01435523,0.003821162,0.0221331,0.02195801,0.003451299],"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":[0.00002614185,0.000006356621,0.0001271392,0.0003228474,0.000007442615,0.00001109174,0.00006458561,0.00003276332,0.0001485745,0.000613714,0.9949691,0.003670245],"study_design_scores_gemma":[0.00004693308,0.000008169845,0.001023931,0.0002334471,0.00001246172,0.00004678017,0.0000759472,0.0001006652,0.0005235183,0.0008901227,0.997004,0.00003403294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001289685,0.0001120646,0.005002026,0.0004806214,0.0001310805,0.0007244809,0.9715449,0.01360715,0.008268733],"genre_scores_gemma":[0.0007126855,0.0002693401,0.01581394,0.0005401401,0.00005642752,0.003803379,0.9612461,0.007333281,0.01022468],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9960957,"threshold_uncertainty_score":0.7078935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1352941537848809,"score_gpt":0.3920412203161144,"score_spread":0.2567470665312335,"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."}}