{"id":"W4385434439","doi":"10.1007/978-1-4842-9579-3_9","title":"The Master of Mashup","year":2023,"lang":"en","type":"book-chapter","venue":"Design Thinking","topic":"Artistic and Creative Research","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Merge (version control); Mashup; Creativity; Leverage (statistics); Art; Computer science; Mashing; Visual arts; Multimedia; Artificial intelligence; World Wide Web; Psychology; The Internet; Information retrieval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006749414,0.0004948628,0.0002644359,0.001025797,0.001651125,0.003448992,0.000592527,0.001120656,0.03624612],"category_scores_gemma":[0.001505143,0.0004227298,0.0003035748,0.001040132,0.001993112,0.00888272,0.002024474,0.002651137,0.01246665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001721143,"about_ca_system_score_gemma":0.001163215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001918962,"about_ca_topic_score_gemma":0.003304443,"domain_scores_codex":[0.9995133,0.00008378775,0.00002087477,0.00009617615,0.0002346701,0.00005122179],"domain_scores_gemma":[0.9995655,0.0002077165,0.00001400137,0.00009719398,0.0000615768,0.00005382745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001912672,0.00001906315,0.00006466884,0.0001907873,0.000004876935,0.00007613344,0.001653769,0.0005911806,0.001134889,0.6796436,0.1410704,0.1755316],"study_design_scores_gemma":[0.000001575324,0.000004598302,0.00004557793,0.00007370022,0.000001125475,0.00009555215,0.0001374439,0.0003699279,0.0004516064,0.04566459,0.95315,0.000004396753],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001917425,0.02015749,0.1024661,0.009023122,0.001679361,0.0000969149,0.0003397492,0.002778054,0.8615419],"genre_scores_gemma":[0.044235,0.01826373,0.06312875,0.002662774,0.001100436,0.000212196,0.0005363782,0.001438981,0.8684217],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03624612,"threshold_uncertainty_score":0.1212553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2143566223217105,"score_gpt":0.2765072758619668,"score_spread":0.06215065354025634,"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."}}