{"id":"W2138610947","doi":"10.1109/itcc.2004.1286724","title":"Digital library resources description","year":2004,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer science; XML; Consistency (knowledge bases); Digital library; World Wide Web; Database; Information retrieval; File format; Complement (music); Multimedia","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":[0.001738514,0.0009770208,0.001229279,0.01313038,0.001674777,0.01146906,0.003325907,0.001681768,0.2588292],"category_scores_gemma":[0.008847175,0.0005730131,0.0007165509,0.0266819,0.0006929936,0.009477697,0.003488849,0.001719622,0.2470325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00334726,"about_ca_system_score_gemma":0.003932326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01460276,"about_ca_topic_score_gemma":0.01012682,"domain_scores_codex":[0.997139,0.0004638924,0.0006104576,0.0004136667,0.001100841,0.000272152],"domain_scores_gemma":[0.9940715,0.0009783942,0.0004142474,0.001320057,0.002394285,0.0008214361],"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":[0.000175162,0.00008473325,0.001113992,0.001799547,0.00002258094,0.0004169182,0.0003499928,0.000904965,0.001353388,0.04711455,0.8077136,0.1389505],"study_design_scores_gemma":[0.000004154935,0.00000441539,0.0001874595,0.00006878297,0.000003034083,0.0001226793,0.00008563144,0.00008866037,0.000202658,0.001247662,0.9979722,0.00001256934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002242169,0.002802897,0.02835639,0.00225083,0.001129296,0.001066787,0.548619,0.01022841,0.4033041],"genre_scores_gemma":[0.01264182,0.005361455,0.0437914,0.002464375,0.0003874079,0.001109855,0.6466521,0.005491268,0.2821003],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2588292,"threshold_uncertainty_score":0.8658699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341761403279892,"score_gpt":0.1878153247585752,"score_spread":0.1743977107257763,"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."}}