{"id":"W3128969546","doi":"10.1177/1354856520986268","title":"Curating Viking objects through customized scrolling: How search engines personalize historical narratives","year":2021,"lang":"en","type":"article","venue":"Convergence The International Journal of Research into New Media Technologies","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Paul University","funders":"Riksbankens Jubileumsfond","keywords":"Narrative; Social media; Personalization; Meaning (existential); Identity (music); Sociology; World Wide Web; Computer science; Aesthetics; Literature; Psychology; Art","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001147706,0.0001777168,0.0003084992,0.0002413407,0.0005293212,0.0006510769,0.001665517,0.00009940768,0.001114863],"category_scores_gemma":[0.004018656,0.0001076942,0.0002106332,0.0002430345,0.0007655359,0.0008213719,0.0004263074,0.001192057,0.00002233884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004748195,"about_ca_system_score_gemma":0.0006684862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002769462,"about_ca_topic_score_gemma":0.00049753,"domain_scores_codex":[0.9969178,0.0002065902,0.0004225516,0.0002358947,0.00182805,0.000389116],"domain_scores_gemma":[0.9954714,0.0009076656,0.0002233893,0.0002257544,0.003092263,0.00007952876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000531711,0.0002664972,0.0004535501,0.0001082636,0.0008347479,0.001269223,0.5209563,0.00004666466,0.06108828,0.2330927,0.1208848,0.06046721],"study_design_scores_gemma":[0.0007981319,0.0001698779,0.00002336065,0.0003921192,0.00001340128,0.00009567347,0.4752774,0.0002376963,0.03199553,0.03472327,0.4560569,0.0002166513],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6593143,0.02493352,0.0006828032,0.2978199,0.01018098,0.0004330981,0.00001339296,0.000446302,0.006175729],"genre_scores_gemma":[0.9862639,0.003011595,0.003700079,0.0001000966,0.001905452,0.0000157446,0.000003786075,0.00001830663,0.004980995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.335172,"threshold_uncertainty_score":0.9997982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.18338205364232,"score_gpt":0.3576787162517053,"score_spread":0.1742966626093854,"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."}}