{"id":"W4409222143","doi":"10.1525/jpms.2025.37.1.93","title":"Review: <i>Computing Taste: Algorithms and the Makers of Music Recommendation</i>, by Nick Seaver","year":2025,"lang":"en","type":"article","venue":"Journal of Popular Music Studies","topic":"Diverse Musicological Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Taste; Computer science; Psychology; Neuroscience","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":[0.001133624,0.0001778956,0.0007648284,0.0000786758,0.0004743375,0.00007550971,0.0001889466,0.00002519691,0.0002906168],"category_scores_gemma":[0.0006220141,0.00009757505,0.0002053912,0.0001072269,0.0007992439,0.0001249653,0.0003221357,0.0002166645,0.000003500973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000505678,"about_ca_system_score_gemma":0.00002107379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004240956,"about_ca_topic_score_gemma":0.00004178101,"domain_scores_codex":[0.9985193,0.0001876399,0.0007546188,0.0001421524,0.000216142,0.0001801218],"domain_scores_gemma":[0.9983416,0.0003354886,0.0006826579,0.0001103846,0.0005016515,0.00002824526],"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":[0.00004961286,0.00006961216,0.0002412024,0.0004625114,0.001160733,0.000005187912,0.008725886,0.00000221958,0.000006001238,0.01954473,0.9419224,0.02780994],"study_design_scores_gemma":[0.001457769,0.0001107717,0.0001386373,0.001258474,0.0005426948,0.000006733721,0.02095821,0.00001306072,0.000004822921,0.001561912,0.9738281,0.0001188011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05451327,0.833901,0.0001714488,0.0634273,0.00808698,0.001293222,0.00008835136,0.00005152664,0.03846687],"genre_scores_gemma":[0.6061924,0.2423519,0.002068794,0.1198627,0.00427115,0.00004170597,0.00002360082,0.00009160549,0.02509609],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5915492,"threshold_uncertainty_score":0.3978995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09916374056178685,"score_gpt":0.2945299672408652,"score_spread":0.1953662266790784,"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."}}