{"id":"W6962935417","doi":"10.17639/nott.7320","title":"DigiScore TENOR commissions: Ingrid Laubrock and Kitty Xiao","year":2023,"lang":"en","type":"dataset","venue":"Repository@Nottingham (University of Nottingham)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Openness to experience; Improvisation; Work (physics)","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":[0.004689177,0.002218084,0.001497828,0.004491962,0.002714256,0.004497814,0.003052221,0.001943057,0.1132015],"category_scores_gemma":[0.01923967,0.0007425412,0.001085327,0.005880737,0.001359158,0.003297542,0.005469936,0.003080915,0.2206969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002246142,"about_ca_system_score_gemma":0.003682879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05792489,"about_ca_topic_score_gemma":0.180847,"domain_scores_codex":[0.9956225,0.001048614,0.0002292541,0.0009559463,0.001583557,0.0005601916],"domain_scores_gemma":[0.9882239,0.00171389,0.0004435247,0.004161466,0.003399487,0.002057663],"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":[0.0000300758,0.00001203797,0.0003838089,0.00005248314,0.000003262871,0.00001083529,0.00004782889,0.00005212027,0.00003283027,0.0003541192,0.996781,0.002239518],"study_design_scores_gemma":[0.00006562245,0.0000143478,0.00208191,0.0001343809,0.000005916291,0.00003732802,0.0003694672,0.0004484215,0.000215356,0.0008225269,0.9957795,0.00002521951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001423901,0.0002589789,0.0007389291,0.00206244,0.0005483619,0.0001188853,0.9810497,0.002384467,0.01141428],"genre_scores_gemma":[0.00191912,0.00007556993,0.001435743,0.0003413171,0.00004599355,0.0002094963,0.9849113,0.0008037253,0.01025783],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1132015,"threshold_uncertainty_score":0.3786966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493599093294934,"score_gpt":0.2177449071343899,"score_spread":0.2028089162014406,"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."}}