{"id":"W4387246336","doi":"10.7152/nasko.v9i1.16307","title":"Thesaurus construction for community-centered metadata","year":2023,"lang":"en","type":"article","venue":"NASKO","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Metadata; Thesaurus; Information retrieval; Computer science; World Wide Web; Natural language processing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003902263,0.00006219927,0.0001037851,0.00007255669,0.0002059831,0.0001328107,0.0007482853,0.00003726013,0.000003077744],"category_scores_gemma":[0.0001575101,0.00005236517,0.00004713008,0.0002513007,0.00004549684,0.0003567445,0.0002319194,0.00009258646,0.00005958448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001069852,"about_ca_system_score_gemma":0.00002289595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005833099,"about_ca_topic_score_gemma":0.00003319689,"domain_scores_codex":[0.999423,0.00007939021,0.0001048552,0.0001242196,0.00009554523,0.0001729637],"domain_scores_gemma":[0.9990208,0.0003241441,0.0000376822,0.0005528721,0.0000389083,0.00002558255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003334885,0.0001112551,0.002886997,0.00009650211,0.0001269424,0.0000270533,0.002760851,0.0000257828,0.002971644,0.5278884,0.04240283,0.4206684],"study_design_scores_gemma":[0.005114262,0.000758709,0.05915466,0.0001257762,0.00009687104,0.0003319576,0.007492816,0.08478445,0.03845226,0.3361945,0.4662447,0.001249034],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2881945,0.0001452724,0.6993982,0.004407945,0.002394216,0.0004249467,0.00003121017,0.001458512,0.003545261],"genre_scores_gemma":[0.9426646,0.00003087599,0.05601112,0.0003899751,0.00006572033,0.00003298637,0.00002858054,0.000007379491,0.0007687535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6544701,"threshold_uncertainty_score":0.213539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1104756898920473,"score_gpt":0.3151891649598066,"score_spread":0.2047134750677593,"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."}}