{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001399892,0.0003207386,0.000191318,0.0002305386,0.0001552471,0.0002096965,0.0002069145,0.0001988571,0.001560885],"category_scores_gemma":[0.0002852198,0.0001760314,0.000171774,0.0001642556,0.0001603515,0.0001344816,0.0001445075,0.0003465604,0.0001672489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001571101,"about_ca_system_score_gemma":0.0001528559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155579,"about_ca_topic_score_gemma":0.003285935,"domain_scores_codex":[0.9998578,0.00001206153,0.000008610769,0.00003423226,0.00005488714,0.00003243853],"domain_scores_gemma":[0.9998083,0.00003764163,0.00005315417,0.00001879218,0.00005634631,0.0000258241],"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":[0.00006250074,0.00001172073,0.0002459818,0.00005101458,0.000003883326,0.0000506552,0.00002179293,0.000040207,0.9979765,0.00001456905,0.00002102688,0.001500139],"study_design_scores_gemma":[0.000002090326,0.0002783427,0.003927571,0.000004784708,0.00001023574,0.00007643395,0.00002502696,0.0001653836,0.9945745,0.000006614116,0.00092534,0.000003749602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958658,0.0006526006,0.002292461,0.00001939886,0.00003323335,0.00003881207,0.00008443737,0.00005103088,0.0009621743],"genre_scores_gemma":[0.9910367,0.000628328,0.004852409,0.00003262645,0.000010174,0.00003530375,0.0001893896,0.00004059838,0.003174518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001560885,"threshold_uncertainty_score":0.005221725,"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."}}