{"id":"W2338958948","doi":"","title":"What Does `Evaluationź Mean for the NIME Community?","year":2015,"lang":"en","type":"article","venue":"New Interfaces for Musical Expression","topic":"Information Society and Technology Trends","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Computer science; Term (time); Consistency (knowledge bases); Meaning (existential); Set (abstract data type); Order (exchange); Management science; Data science; Epistemology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001577988,0.00009460999,0.0001200656,0.00002974027,0.001274033,0.0002241534,0.0005540485,0.0002045855,0.0001118882],"category_scores_gemma":[0.0008231184,0.00005358344,0.0001041085,0.0001205535,0.0003196966,0.0009644668,0.0001138469,0.0002355405,0.00002498691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007455258,"about_ca_system_score_gemma":0.000126463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002271728,"about_ca_topic_score_gemma":0.0008110899,"domain_scores_codex":[0.9990044,0.0001383099,0.0002110173,0.0001070988,0.0003064577,0.000232762],"domain_scores_gemma":[0.9983965,0.0008775848,0.0001204809,0.0002637673,0.0002354291,0.0001062936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002631498,0.0001206572,0.00002968593,0.00002357536,0.00005175396,6.249262e-8,0.4662025,0.0001050973,0.001684315,0.06278055,0.2493183,0.2194204],"study_design_scores_gemma":[0.0008594088,0.0001311203,0.000009103932,0.00006537245,0.00002396115,2.463636e-7,0.1817194,0.001206759,0.009652619,0.03341342,0.7728119,0.0001066397],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6197344,0.001438384,0.1664406,0.1478111,0.01669382,0.004792149,0.00008246095,0.001408402,0.0415987],"genre_scores_gemma":[0.9894776,0.00005455576,0.002226919,0.001017116,0.0004102346,0.0001518001,0.00002187212,0.000009937277,0.006629941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5234936,"threshold_uncertainty_score":0.9798957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.133791294669042,"score_gpt":0.3984704557949079,"score_spread":0.2646791611258659,"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."}}