{"id":"W2884803950","doi":"","title":"Imaginary Miles: Modeling Musebots after Musicians","year":2018,"lang":"en","type":"article","venue":"The Journal of the Abraham Lincoln Association","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"The Imaginary; Improvisation; Jazz; Variety (cybernetics); Musical; Computer science; Replicate; Style (visual arts); Cognitive science; Visual arts; Artificial intelligence; Psychology; Art; Mathematics; Psychoanalysis","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":[0.001978318,0.0001054109,0.0001745783,0.00007555648,0.0005293779,0.00006403524,0.00129941,0.000101101,0.000008235625],"category_scores_gemma":[0.0003540195,0.00005730817,0.000136595,0.0003405813,0.00009308252,0.0003713676,0.0003773564,0.0003926705,0.00002645842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002357568,"about_ca_system_score_gemma":0.00008309162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001880995,"about_ca_topic_score_gemma":0.00008507608,"domain_scores_codex":[0.9986324,0.0002678381,0.0003541268,0.00009591343,0.0004273544,0.0002223774],"domain_scores_gemma":[0.9983006,0.000217817,0.0006142417,0.0004224124,0.0004200706,0.00002488353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0010747,0.001595572,0.1467357,0.00009687778,0.003952982,0.0001119688,0.3424788,0.01115944,0.007520664,0.03102492,0.3394015,0.1148469],"study_design_scores_gemma":[0.003312259,0.001204196,0.1666703,0.0005879504,0.0007405775,0.0003996917,0.003052091,0.3482755,0.002007605,0.4314598,0.04118126,0.001108789],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8704287,0.000604547,0.09364078,0.03011589,0.003046986,0.0001650798,0.000001996479,0.00006923945,0.001926766],"genre_scores_gemma":[0.9944959,0.00006549077,0.00199362,0.002238705,0.0007085905,0.000002764087,5.136327e-8,0.000006568505,0.0004883077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4004349,"threshold_uncertainty_score":0.40716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009191830930915234,"score_gpt":0.2295518613151846,"score_spread":0.2203600303842694,"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."}}