{"id":"W7132919918","doi":"","title":"Identifying Strategies for Access to Cultural Belongings in Museum Collections: Developing a Professional Toolkit","year":2025,"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":"Royal Ontario Museum","funders":"University of Toronto","keywords":"Museology; Process (computing); Field (mathematics); Work (physics); Public access; Set (abstract data type)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.04577167,0.000824736,0.0007464574,0.004833954,0.01864628,0.01791988,0.004794462,0.003466296,0.005951382],"category_scores_gemma":[0.04630904,0.001230808,0.0009080003,0.003180811,0.02859152,0.02233781,0.0380139,0.005389018,0.001761994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01499701,"about_ca_system_score_gemma":0.06620482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01395743,"about_ca_topic_score_gemma":0.02676062,"domain_scores_codex":[0.9680561,0.02264738,0.001649154,0.002025152,0.003336563,0.002285539],"domain_scores_gemma":[0.9584084,0.02255522,0.00235151,0.004165282,0.004219193,0.0083005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002001483,0.0002963968,0.005695901,0.0005886985,0.00001171077,0.0005993711,0.8534936,0.000561698,0.001010851,0.05124548,0.003523066,0.0829532],"study_design_scores_gemma":[0.00001993383,0.00009756796,0.002487358,0.0008286209,0.00001880246,0.0003876097,0.8736834,0.001445129,0.000927637,0.02876175,0.09127461,0.00006756034],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4316762,0.001962485,0.300008,0.03792387,0.000302999,0.006813295,0.0001690677,0.001726007,0.2194181],"genre_scores_gemma":[0.6782815,0.001816774,0.2942435,0.0008061269,0.00002534545,0.003180714,0.0001553235,0.0002367132,0.02125405],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04577167,"threshold_uncertainty_score":0.2420666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1236364420774623,"score_gpt":0.4247624323334375,"score_spread":0.3011259902559752,"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."}}