{"id":"W2901651830","doi":"10.1080/00393630.2018.1527984","title":"Microfade Testing for Heritage Institutions: A Canadian Experience","year":2018,"lang":"en","type":"article","venue":"Studies in Conservation","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Exhibition; Variety (cybernetics); Service (business); Visual arts; Computer science; Multimedia; Medical education; Business; Art; Medicine; Marketing","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":[0.01375873,0.0009877228,0.0006203597,0.002822047,0.02898004,0.007303196,0.00386726,0.001932589,0.006709654],"category_scores_gemma":[0.01188158,0.0008471031,0.0007095943,0.00708744,0.008182758,0.002595765,0.007396583,0.003837998,0.0007790761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07640385,"about_ca_system_score_gemma":0.1872436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9742269,"about_ca_topic_score_gemma":0.9922638,"domain_scores_codex":[0.9857972,0.002349266,0.0003690772,0.001055409,0.007451526,0.002977385],"domain_scores_gemma":[0.9834808,0.001956734,0.0003716645,0.0005898408,0.009082525,0.004518602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003219324,0.001076172,0.05525237,0.001247885,0.00007786856,0.005436257,0.4537099,0.001600816,0.00676934,0.01415283,0.0642145,0.3961401],"study_design_scores_gemma":[0.00002451996,0.0003879204,0.04957664,0.0006325737,0.0000487681,0.001768053,0.3410077,0.0006503505,0.002612622,0.001286171,0.6017712,0.0002333791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7012502,0.01938471,0.01315922,0.04182422,0.001540679,0.001584377,0.001820383,0.0005412911,0.218895],"genre_scores_gemma":[0.8613753,0.02697817,0.03488775,0.005231659,0.0001253105,0.0002420888,0.0008922965,0.0004957815,0.06977169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07640385,"threshold_uncertainty_score":0.5543513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3977214343099376,"score_gpt":0.377136308392196,"score_spread":0.02058512591774153,"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."}}