{"id":"W2977741094","doi":"","title":"National Gallery of Canada – Aspects of Museum Digitalisation","year":2011,"lang":"en","type":"article","venue":"Muzealnictwo","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Museology; Geography; Visual arts; Art; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001184919,0.0002614071,0.0002569251,0.003149301,0.01094943,0.008805417,0.001132197,0.0006617517,0.02668263],"category_scores_gemma":[0.00269286,0.0003078449,0.0003062136,0.006069897,0.002555148,0.001833064,0.003281121,0.001121852,0.001077081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05394362,"about_ca_system_score_gemma":0.08170737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9892215,"about_ca_topic_score_gemma":0.9962565,"domain_scores_codex":[0.9984988,0.0000984726,0.00003443017,0.0001051634,0.0007032253,0.0005599314],"domain_scores_gemma":[0.9975541,0.0001946971,0.0001239453,0.0002029134,0.001094172,0.0008302155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004645441,0.0001537458,0.05516852,0.0008643284,0.0001015064,0.001162732,0.03848837,0.001302294,0.003089409,0.2851793,0.2533928,0.3606325],"study_design_scores_gemma":[0.000008483977,0.00001448534,0.1980199,0.0002522794,0.00001692037,0.0002262337,0.02102988,0.0002992993,0.000471453,0.001763545,0.777849,0.00004858471],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.272205,0.01563881,0.001085998,0.02433936,0.0005024408,0.0001426242,0.005963922,0.0002249155,0.6798969],"genre_scores_gemma":[0.7273243,0.006078598,0.002210619,0.001210768,0.00005606695,0.0000378071,0.002050098,0.0001704456,0.2608612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05394362,"threshold_uncertainty_score":0.3913902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06220163748041903,"score_gpt":0.2013796992156532,"score_spread":0.1391780617352341,"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."}}