{"id":"W7052417395","doi":"","title":"Representation matters: Developing a Canadian BIPOC composers dataset for music collection evaluation and development","year":2022,"lang":"en","type":"other","venue":"University Library (University of Saskatchewan)","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Representation (politics); Data collection; Development (topology); Key (lock); Identification (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003935953,0.003390474,0.001134733,0.009513557,0.004671643,0.003589386,0.004721162,0.00217165,0.02610493],"category_scores_gemma":[0.01337153,0.0006831696,0.00158321,0.008084896,0.001268367,0.002370334,0.004303644,0.002212513,0.02854446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006952103,"about_ca_system_score_gemma":0.02166727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6828218,"about_ca_topic_score_gemma":0.8579232,"domain_scores_codex":[0.9954458,0.0005984819,0.0002411964,0.0007925399,0.002194682,0.0007271499],"domain_scores_gemma":[0.9912208,0.0007149135,0.0002307173,0.001517163,0.00505109,0.001265329],"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":[0.0003451004,0.0002357522,0.003414963,0.0005123387,0.0001071688,0.0001358172,0.0004389991,0.001337937,0.002768134,0.00153562,0.9140275,0.07514063],"study_design_scores_gemma":[0.0003167206,0.0001110209,0.02521818,0.0004291305,0.0001667231,0.0001314386,0.002341662,0.01162048,0.00612762,0.001836746,0.9514887,0.0002115135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03144012,0.002032051,0.02167207,0.001668405,0.001506162,0.003096513,0.851657,0.03055658,0.0563712],"genre_scores_gemma":[0.01499523,0.0004132952,0.02695604,0.0002993208,0.0001042937,0.0009458415,0.9321791,0.001959999,0.02214693],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3171782,"threshold_uncertainty_score":0.6380922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993295776542646,"score_gpt":0.1920400365136808,"score_spread":0.1721070787482544,"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."}}