{"id":"W4247313343","doi":"10.32920/ryerson.14648448.v1","title":"The digital exhibition defined: The M.O. Hammond Collection","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Exhibition; Digitization; Visual arts; Multimedia; Selection (genetic algorithm); Process (computing); World Wide Web; Computer science; Art; Telecommunications; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009542775,0.0002773223,0.0002224982,0.0009714118,0.006447962,0.004166072,0.0003814562,0.0006670693,0.02047066],"category_scores_gemma":[0.002066456,0.0002035546,0.0002136794,0.001703391,0.001660012,0.002332193,0.003847241,0.001221138,0.002413387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002508284,"about_ca_system_score_gemma":0.002958299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01675722,"about_ca_topic_score_gemma":0.06549873,"domain_scores_codex":[0.9992419,0.0001954199,0.00003792838,0.0001562495,0.0002523675,0.000116122],"domain_scores_gemma":[0.9992365,0.0001272844,0.00009131581,0.000105598,0.0001868641,0.0002523605],"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":[0.000285903,0.00009628163,0.01472504,0.0007269427,0.00001792212,0.003116744,0.114341,0.0003224211,0.006183915,0.1892958,0.4706514,0.2002366],"study_design_scores_gemma":[0.000001621513,0.00001791044,0.006068994,0.0001735985,0.000002357214,0.0002717963,0.01455398,0.00001846568,0.0006656018,0.000728256,0.9774859,0.00001152757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2397376,0.0114791,0.004481109,0.02260915,0.004310663,0.0004335493,0.002975376,0.0001908719,0.7137826],"genre_scores_gemma":[0.4223717,0.007349399,0.007735126,0.001717193,0.0005831829,0.0003820535,0.001667922,0.0003899585,0.5578036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02047066,"threshold_uncertainty_score":0.06848115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03344505059164884,"score_gpt":0.2113241144524654,"score_spread":0.1778790638608165,"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."}}