{"id":"W4386568583","doi":"10.29173/pathfinder81","title":"Remixing “Taste”","year":2023,"lang":"en","type":"article","venue":"Pathfinder A Canadian Journal for Information Science Students and Early Career Professionals","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Active listening; Context (archaeology); Mashup; World Wide Web; Taste; Multimedia; Digital content; Web 2.0; The Internet; Sociology; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.007106286,0.0006986494,0.0004416624,0.002508289,0.001656197,0.005173934,0.001379508,0.001199768,0.01248373],"category_scores_gemma":[0.03105271,0.0004021138,0.0005906744,0.001906412,0.00347141,0.008763748,0.005440864,0.001229259,0.003720392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009035079,"about_ca_system_score_gemma":0.0007626332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00072981,"about_ca_topic_score_gemma":0.001195885,"domain_scores_codex":[0.9950829,0.002049396,0.0002991919,0.0009501164,0.001366185,0.0002523187],"domain_scores_gemma":[0.9803641,0.006648475,0.001494267,0.009359935,0.001567166,0.0005659423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007261925,0.0002451688,0.01841308,0.0006957686,0.00009319744,0.0009130861,0.02649464,0.005432964,0.03107489,0.2612487,0.01003496,0.6446273],"study_design_scores_gemma":[0.0001295901,0.0007936798,0.03201298,0.0007367673,0.0001735477,0.004306326,0.02199119,0.0769382,0.0843875,0.2610984,0.5170579,0.0003740405],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1340129,0.0006893044,0.7508432,0.002309516,0.0004861114,0.0005689298,0.0006909287,0.007591567,0.1028076],"genre_scores_gemma":[0.6903143,0.0004262485,0.2587352,0.0005653735,0.0003129678,0.0003258855,0.0008371355,0.00171462,0.0467683],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01248373,"threshold_uncertainty_score":0.04176229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05941704527637618,"score_gpt":0.3781344956671605,"score_spread":0.3187174503907843,"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."}}