{"id":"W4403097416","doi":"10.5206/cjils-rcsib.v47i2.17524","title":"Information design and digital curation at the museum of the person","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Information and Library Science","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data curation; Digital curation; World Wide Web; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005256081,0.0004128353,0.000400311,0.002656347,0.01214055,0.01162705,0.001386809,0.001612082,0.008897185],"category_scores_gemma":[0.007379868,0.0003159383,0.000523747,0.003986431,0.01848032,0.008086586,0.006690249,0.001589291,0.0007359269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00997429,"about_ca_system_score_gemma":0.01310051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0314343,"about_ca_topic_score_gemma":0.05418216,"domain_scores_codex":[0.992699,0.00517243,0.0002204676,0.0004734984,0.001014679,0.0004200264],"domain_scores_gemma":[0.9938409,0.003619714,0.000390816,0.001127604,0.0004976016,0.0005232824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007951302,0.00009865373,0.004503931,0.001107276,0.00003994023,0.001241562,0.4488101,0.0006388944,0.002144872,0.4013298,0.01509123,0.1249142],"study_design_scores_gemma":[0.00002263545,0.0001113747,0.005244264,0.001007759,0.00004666714,0.001484512,0.1997657,0.0004601903,0.002175135,0.05945323,0.7301568,0.00007170811],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2243654,0.02167023,0.05191529,0.03332936,0.000519479,0.0004493708,0.0003481609,0.0005824598,0.6668202],"genre_scores_gemma":[0.8853913,0.007076243,0.039392,0.002009939,0.0001154641,0.0002687802,0.0001338267,0.0002562942,0.06535605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9883729,"threshold_uncertainty_score":0.07236886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571913079012213,"score_gpt":0.1653383764143971,"score_spread":0.1496192456242749,"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."}}