{"id":"W152522724","doi":"10.5281/zenodo.1417422","title":"Data Dictionary: Metadata For Phonograph Records.","year":2006,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Metadata; Computer science; Data dictionary; Digitization; Information retrieval; Interoperability; Data mapping; Semantic interoperability; Phonograph; Data element; Digital library; Annotation; Meta Data Services; Process (computing); Data retrieval; World Wide Web; Database; Artificial intelligence; Engineering","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":[0.0002198218,0.00006785023,0.0000790778,0.00005146074,0.0001461289,0.0002712873,0.001290565,0.00001731521,0.00002706124],"category_scores_gemma":[0.00001296775,0.00005488034,0.00002668372,0.0002436048,0.00002041035,0.002025342,0.0003936245,0.00003310087,0.00001113704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005051595,"about_ca_system_score_gemma":0.00004138167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001073727,"about_ca_topic_score_gemma":0.00006100256,"domain_scores_codex":[0.9992225,0.000008390751,0.0001334562,0.0003687653,0.0001090729,0.0001577888],"domain_scores_gemma":[0.9989597,0.00004964317,0.00004679151,0.0008823895,0.00003408288,0.00002740935],"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":[0.000002391912,0.00004810547,0.0003600405,0.00001236365,0.00001175875,0.000001546689,0.00000876279,0.000009583093,0.0001520707,0.07268789,0.7851865,0.141519],"study_design_scores_gemma":[0.0001790776,0.00001375099,0.0006396666,0.000005693301,0.000007289442,0.000007850519,0.000004871633,0.0536103,0.0006070955,0.01797437,0.9268302,0.0001198792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001531035,0.000207554,0.98063,0.002157661,0.000336608,0.00007958762,0.00004404594,0.0001686836,0.01622269],"genre_scores_gemma":[0.03225991,0.00001530266,0.9544185,0.00220987,0.0005198745,0.00001852545,0.0003216718,0.000009515101,0.0102268],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1416437,"threshold_uncertainty_score":0.261603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06002829412537313,"score_gpt":0.2804445112757214,"score_spread":0.2204162171503483,"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."}}