{"id":"W7077148094","doi":"10.14288/1.0449805","title":"What’s Hiding in the Spine? A Study of Adhesives in Medieval Books Using Mass Spectrometry","year":2025,"lang":"en","type":"article","venue":"Open Collections","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Middle Ages; Sampling (signal processing); Mass spectrometry; GLUE; Principal (computer security); Zooarchaeology","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":[0.0008916916,0.0003226038,0.0002687956,0.004020227,0.003334339,0.002435449,0.0006847013,0.0005176686,0.002618087],"category_scores_gemma":[0.003281024,0.0002808617,0.0001934137,0.005145635,0.002754746,0.00173203,0.0009246124,0.0006724012,0.0005231455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171216,"about_ca_system_score_gemma":0.001102556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05412239,"about_ca_topic_score_gemma":0.1899941,"domain_scores_codex":[0.9993728,0.00009102446,0.00002965357,0.0001493712,0.0002800856,0.00007712168],"domain_scores_gemma":[0.9984335,0.0004691192,0.0004005329,0.0001029342,0.0004507909,0.0001431295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006899991,0.0002212763,0.3651156,0.001205297,0.0001672637,0.004042569,0.2697016,0.0002480327,0.09370414,0.008575062,0.005217556,0.2511116],"study_design_scores_gemma":[0.000007088959,0.0001951476,0.7943549,0.0003269692,0.00009425112,0.002657241,0.1060904,0.0002363062,0.02571076,0.001237466,0.06899395,0.00009547004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876864,0.003576308,0.0007686726,0.0005056304,0.00003108177,0.00002302043,0.000356408,0.0000176426,0.007034805],"genre_scores_gemma":[0.9754686,0.006734231,0.005608219,0.0003935245,0.00006005619,0.00001899726,0.000410903,0.00004461448,0.01126082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05412239,"threshold_uncertainty_score":0.1076147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03722388258562739,"score_gpt":0.3025834532917253,"score_spread":0.2653595707060979,"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."}}