{"id":"W2899577025","doi":"10.32920/ryerson.14637102","title":"Author identifier analysis: Name authority control in two institutional repositories","year":2021,"lang":"en","type":"article","venue":"","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Authority control; Identifier; Scopus; Metadata; Institution; World Wide Web; Library science; Control (management); Political science; Database; Computer science; Law; MEDLINE","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03120467,0.0003055676,0.0008522747,0.02510727,0.002631521,0.009965569,0.001830375,0.0008689455,0.003344696],"category_scores_gemma":[0.167568,0.0003188706,0.0005886419,0.04371097,0.002712487,0.00803889,0.006255391,0.0007310264,0.0009712443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003894373,"about_ca_system_score_gemma":0.004361301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01162036,"about_ca_topic_score_gemma":0.01136853,"domain_scores_codex":[0.9403014,0.01823783,0.01082576,0.005674869,0.02205158,0.00290864],"domain_scores_gemma":[0.6933661,0.1112599,0.1101246,0.02453881,0.05636027,0.004350409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000274589,0.00007882855,0.9437928,0.0002305823,0.0001045327,0.0001758377,0.01076422,0.0004395444,0.001331227,0.005033745,0.001145435,0.03662869],"study_design_scores_gemma":[0.00005347619,0.0002653136,0.9226545,0.0003243602,0.0002662603,0.0008251999,0.03816493,0.004808767,0.007621487,0.0033054,0.02158175,0.0001285919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804558,0.0006222786,0.005833069,0.0005097966,0.00004076465,0.000165065,0.002022292,0.0001560834,0.01019481],"genre_scores_gemma":[0.9912215,0.0001364128,0.00546469,0.00007637019,0.00003412413,0.0001137341,0.001716831,0.00005258075,0.001183702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9900345,"threshold_uncertainty_score":0.165028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748641260292665,"score_gpt":0.2801636556588637,"score_spread":0.262677243055937,"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."}}