{"id":"W205125903","doi":"10.29173/cais424","title":"Infometrics and Music Information Retrieval: An Infometric Examination of a Folksong Database","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Music and Audio Processing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Melody; Information retrieval; Computer science; Music information retrieval; Database; Musical; Literature; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00666244,0.0003792623,0.0006618322,0.02101376,0.001133634,0.003462439,0.0007898739,0.0004958027,0.001848554],"category_scores_gemma":[0.04143288,0.000171163,0.0004742341,0.02561305,0.001186151,0.007725428,0.001409564,0.0006338526,0.0004900299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275435,"about_ca_system_score_gemma":0.0009773714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00228519,"about_ca_topic_score_gemma":0.002072776,"domain_scores_codex":[0.9936841,0.001563033,0.0007922577,0.0005218591,0.00324677,0.0001920065],"domain_scores_gemma":[0.9689091,0.0176225,0.004510977,0.0030403,0.005292263,0.0006248487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00129068,0.0003737794,0.1592598,0.001313647,0.0003011306,0.0006638105,0.003690232,0.007943949,0.01282831,0.08400071,0.008897178,0.7194369],"study_design_scores_gemma":[0.000103351,0.001535933,0.4354712,0.000646441,0.0004064544,0.007430468,0.01422419,0.2583844,0.02626766,0.1558484,0.09935285,0.0003286104],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.748512,0.01210075,0.1898775,0.00352805,0.0001780281,0.0002748411,0.00895528,0.001489725,0.03508391],"genre_scores_gemma":[0.9116009,0.001639477,0.08080426,0.0001885143,0.0001561235,0.0001016504,0.004312747,0.00007702973,0.001119158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9789863,"threshold_uncertainty_score":0.03523481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751748524424567,"score_gpt":0.2344233079728172,"score_spread":0.2069058227285716,"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."}}