{"id":"W2294709510","doi":"10.5072/zenodo.243130","title":"Discovering Metadata Inconsistencies.","year":2010,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Metadata; Computer science; Metadata repository; Meta Data Services; Database catalog; Data element; Information retrieval; World Wide Web; Software; Database; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.01553607,0.001280025,0.001897217,0.009295146,0.00247903,0.007852311,0.005388586,0.002097116,0.004874992],"category_scores_gemma":[0.08371376,0.00100256,0.001101122,0.008055813,0.001313922,0.01207538,0.006839125,0.001887477,0.00293483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635275,"about_ca_system_score_gemma":0.00367892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003985356,"about_ca_topic_score_gemma":0.004148772,"domain_scores_codex":[0.9709565,0.004917837,0.003117542,0.004601029,0.01557205,0.0008350776],"domain_scores_gemma":[0.9376445,0.0222346,0.009202429,0.01685282,0.01318197,0.0008837529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001079461,0.0004264213,0.08123707,0.001606795,0.0004842417,0.002708042,0.004448329,0.006477281,0.020868,0.04436878,0.02607056,0.810225],"study_design_scores_gemma":[0.000219708,0.0006771486,0.03613501,0.001866971,0.001207557,0.01308828,0.01288629,0.1710571,0.1655357,0.1366022,0.4600722,0.0006517866],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1197745,0.004424572,0.8274811,0.002534712,0.0006560371,0.0008398336,0.007027694,0.02132635,0.01593516],"genre_scores_gemma":[0.3527684,0.001473059,0.6148026,0.001162873,0.0002881864,0.0003093676,0.01992717,0.002589375,0.006679071],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01553607,"threshold_uncertainty_score":0.08216357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00901667668068682,"score_gpt":0.2173152191435672,"score_spread":0.2082985424628804,"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."}}