{"id":"W4287901858","doi":"10.5281/zenodo.3611327","title":"CESSDA ERIC Persistent Identifier Policy 2019","year":2020,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Identifier; Genealogy; Computer science; History; Programming language","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":[0.02572628,0.0009830071,0.001669835,0.005602118,0.003341741,0.01727574,0.004771064,0.01092003,0.2781619],"category_scores_gemma":[0.07245338,0.001461438,0.001300757,0.009344389,0.002015897,0.01286104,0.005632871,0.00592439,0.416774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01185196,"about_ca_system_score_gemma":0.03334371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04392648,"about_ca_topic_score_gemma":0.02467347,"domain_scores_codex":[0.9716018,0.004422379,0.002717851,0.00170326,0.01743245,0.002122324],"domain_scores_gemma":[0.9488516,0.008193172,0.002153049,0.009317951,0.02940418,0.002080072],"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":[0.00007939025,0.00003180424,0.0002286155,0.0001529927,0.000004905884,0.00005173497,0.0001005186,0.0001391049,0.0002046739,0.03702471,0.9451396,0.01684198],"study_design_scores_gemma":[0.00001046484,0.000006618118,0.0001228371,0.00008206545,0.000001965721,0.00002296869,0.00003112834,0.00006201529,0.0001390803,0.001625807,0.9978849,0.00001003395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001495785,0.001844021,0.02478057,0.02211324,0.007368616,0.001705802,0.09928653,0.02239071,0.8190148],"genre_scores_gemma":[0.007623328,0.002264522,0.01981801,0.01003135,0.0009608684,0.002275395,0.1100601,0.00801865,0.8389478],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9827242,"threshold_uncertainty_score":0.9305443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.291310094241864,"score_gpt":0.3978849953402161,"score_spread":0.1065749010983521,"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."}}