{"id":"W4282926580","doi":"10.1515/res-2022-0005","title":"Insights From the NANOforArt Project: Application of Calcium-Based Nanoparticle Dispersions for Improved Preservation of Parchment Documents","year":2022,"lang":"en","type":"article","venue":"Restaurator International Journal for the Preservation of Library and Archival Material","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Parchment; Nanoparticle; Chemistry; Materials science; Nanotechnology; Archaeology; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001546598,0.00009262937,0.0001600079,0.00005992991,0.0004542074,0.0001620113,0.0004919026,0.00001245801,0.000171815],"category_scores_gemma":[0.00004369202,0.00005508223,0.0001189117,0.00004493295,0.0001312408,0.0009943825,0.0001670724,0.00005346642,6.508878e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001156779,"about_ca_system_score_gemma":0.00005758691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002345229,"about_ca_topic_score_gemma":0.00001979825,"domain_scores_codex":[0.9988309,0.0001348213,0.0005446366,0.0001197241,0.0002800944,0.00008985557],"domain_scores_gemma":[0.9987491,0.0003959111,0.0005516464,0.0001414726,0.0001381205,0.00002375572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005978874,0.0002434281,0.0006302016,0.00008494229,0.0003606258,2.297318e-7,0.005807005,0.0006870354,0.7677717,0.2160848,0.001228941,0.001122262],"study_design_scores_gemma":[0.00470153,0.00154955,0.006869655,0.0001588509,0.0003733529,0.0000028113,0.008845679,0.0718455,0.549301,0.08981054,0.2661756,0.0003659077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897565,0.00004034786,0.0007657969,0.004860926,0.0007408911,0.000874382,0.002890141,0.000009633353,0.00006137027],"genre_scores_gemma":[0.9978358,0.00001579594,0.0004615695,0.0001319805,0.0004617758,0.0002614968,0.0006266568,0.00001254572,0.0001923704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2649467,"threshold_uncertainty_score":0.3493442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03815586026655057,"score_gpt":0.2752171200736222,"score_spread":0.2370612598070716,"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."}}