{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001076156,0.001536353,0.002342637,0.001587573,0.002464065,0.0003094233,0.002434687,0.001581979,0.0001254271],"category_scores_gemma":[0.001222714,0.001878175,0.0007949841,0.00182046,0.001249118,0.0007532126,0.003207071,0.00245334,0.002892639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006681277,"about_ca_system_score_gemma":0.0006906117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01398888,"about_ca_topic_score_gemma":0.001189389,"domain_scores_codex":[0.9920812,0.0007197824,0.001286472,0.002383255,0.001950714,0.001578589],"domain_scores_gemma":[0.9912657,0.001310879,0.003231043,0.002421776,0.000800366,0.0009703062],"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":[0.0002554521,0.0004574504,0.001596995,0.001416582,0.0005667972,0.001326562,0.0006596902,0.00002913869,0.002408651,0.00001397756,0.990525,0.0007436728],"study_design_scores_gemma":[0.002091456,0.0004546724,0.002702521,0.003017161,0.001286927,0.0003747078,0.004752763,0.0003106288,0.0002869607,0.00005308458,0.9826815,0.001987582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02806795,0.0006906439,0.00003396594,0.0002466691,0.001551836,0.001340536,0.9649825,0.001326071,0.001759834],"genre_scores_gemma":[0.004207187,0.0007112684,0.002352316,0.0001076781,0.001209698,0.000008993041,0.9734536,0.0006009339,0.01734836],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02386076,"threshold_uncertainty_score":0.9998481,"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."}}