{"id":"W7133028534","doi":"","title":"YouTube for Museums: The Role of YouTube Content in Museum Education and Outreach","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Outreach; Content analysis; Social media; Set (abstract data type); Content (measure theory); Video production; Channel (broadcasting)","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":[0.004216024,0.0002210426,0.00017959,0.001964708,0.006423636,0.008211351,0.0006430532,0.0009931599,0.01372906],"category_scores_gemma":[0.01188713,0.000227567,0.0002070693,0.003171086,0.003254877,0.007387018,0.005184959,0.001539439,0.002943377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003522101,"about_ca_system_score_gemma":0.005983381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02930646,"about_ca_topic_score_gemma":0.08252208,"domain_scores_codex":[0.9973199,0.001503149,0.00008866624,0.0001530348,0.0006228192,0.0003124196],"domain_scores_gemma":[0.9926489,0.003392489,0.0003936792,0.0005623918,0.001213048,0.001789424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001205145,0.0001549646,0.01537554,0.0009578161,0.00003111824,0.001117149,0.2011945,0.0002937559,0.003121543,0.07631671,0.3468433,0.354473],"study_design_scores_gemma":[0.00002388745,0.00007894848,0.01384066,0.001216345,0.00001597105,0.0003195642,0.1210435,0.0007158312,0.0009296848,0.006635919,0.8551083,0.0000714678],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1545391,0.006224591,0.01715524,0.04450344,0.001439898,0.00115638,0.002450988,0.001676116,0.7708544],"genre_scores_gemma":[0.8215799,0.008961171,0.03138695,0.004076133,0.0005442087,0.001095581,0.002036792,0.001514391,0.1288048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02930646,"threshold_uncertainty_score":0.05827177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04322753897527744,"score_gpt":0.3098005328114944,"score_spread":0.266572993836217,"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."}}