{"id":"W4411024896","doi":"10.58286/31375","title":"Arsenic and old quilts: Towards a better understanding of hazardous materials in the National Collection of Parks Canada through non-destructive XRF evaluation","year":2025,"lang":"en","type":"article","venue":"e-Journal of Nondestructive Testing","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hazardous waste; Archaeology; Environmental planning; Forensic engineering; Waste management; Engineering; Environmental science; History","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001113975,0.0001390013,0.0003915174,0.0001759068,0.0001763414,0.00009321875,0.0001379407,0.00003957779,0.0001585578],"category_scores_gemma":[0.0006378463,0.00009963797,0.00005308099,0.0002551295,0.0002028272,0.0003561182,0.00003517948,0.0001302272,8.122048e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006026963,"about_ca_system_score_gemma":0.000574514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07774717,"about_ca_topic_score_gemma":0.06701641,"domain_scores_codex":[0.9981898,0.0002305761,0.0007441213,0.0001328235,0.000571207,0.0001314598],"domain_scores_gemma":[0.9976964,0.0003453032,0.0008498089,0.00006647177,0.001026629,0.0000153874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001988171,0.0004667047,0.05536075,0.001722258,0.003532482,0.00009321943,0.2452554,0.002006249,0.5332581,0.1449552,0.003806469,0.007554928],"study_design_scores_gemma":[0.006190837,0.001043158,0.3298025,0.00319558,0.001662621,0.0004226835,0.1671285,0.001782381,0.03620918,0.4515235,0.0001864362,0.0008525836],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948325,0.0000735698,0.00006267564,0.0002549223,0.0003787222,0.0002104965,0.00004132983,0.000002658135,0.004143083],"genre_scores_gemma":[0.9984694,0.000004288565,0.00122098,0.00008132061,0.0001785807,0.000006649456,0.000003629085,0.000007223834,0.00002791921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4970489,"threshold_uncertainty_score":0.9500081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09542373243978898,"score_gpt":0.2933580489963581,"score_spread":0.1979343165565692,"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."}}