{"id":"W3113227050","doi":"10.3390/coatings10121213","title":"Peroxide Post-Treatment of Wood Impregnated with Micronized Basic Copper Carbonate","year":2020,"lang":"en","type":"article","venue":"Coatings","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"Natural Resources Canada","keywords":"Copper; Peroxide; Chemistry; Leaching (pedology); Nuclear chemistry; Preservative; Materials science; Organic chemistry; Soil water; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002458666,0.0001649382,0.0003242143,0.00002378485,0.0001031507,0.0000915143,0.0000907,0.00002467069,0.001933508],"category_scores_gemma":[0.0000149802,0.0001057708,0.00008995004,0.00004496874,0.0001185641,0.00009052885,0.00002665293,0.0000319418,0.0000444433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003590906,"about_ca_system_score_gemma":0.00002282329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002106581,"about_ca_topic_score_gemma":0.001099148,"domain_scores_codex":[0.9992595,0.00002926291,0.0002271775,0.0002014033,0.0001209647,0.0001616815],"domain_scores_gemma":[0.999445,0.00002245034,0.0001359136,0.0001198855,0.0002104097,0.00006639093],"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":[0.0002297088,0.00009767266,0.0002373297,0.00009666381,0.0002082974,0.0000218963,0.1120921,0.000008672673,0.8844143,0.001358769,0.0003561414,0.0008785315],"study_design_scores_gemma":[0.00759232,0.005676474,0.0006163315,0.0003156299,0.001274728,0.00001537902,0.05729827,0.0004547579,0.7691981,0.00007775607,0.1561176,0.001362584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927481,0.0002694299,7.950767e-7,0.001035604,0.00004307576,0.0001760572,0.00008628369,0.00007501782,0.005565646],"genre_scores_gemma":[0.9977081,0.00001498355,0.0001248595,0.0003363528,0.0001276416,0.00001612195,0.00005822366,0.00002302544,0.001590705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1557615,"threshold_uncertainty_score":0.9989789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02812426414839716,"score_gpt":0.2043439515064341,"score_spread":0.176219687358037,"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."}}