{"id":"W1988445864","doi":"10.1007/s11998-011-9331-4","title":"Exterior wood coatings. Part-2: Modeling correlation between coating properties and their weathering performance","year":2011,"lang":"en","type":"article","venue":"Journal of Coatings Technology and Research","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Coating; Composite material; Weathering; Rosin; Chromated copper arsenate; Glass transition; Contact angle; Gloss (optics); Copper; Metallurgy; Chemical engineering","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":[0.0009209643,0.0001465453,0.000265972,0.0004895409,0.0003319325,0.000048253,0.0001299636,0.0001862395,0.000007237446],"category_scores_gemma":[0.00009562288,0.00009812594,0.00002669752,0.0003079141,0.0002301832,0.0003427979,0.00007929378,0.000758215,0.0000021014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002909549,"about_ca_system_score_gemma":0.00002243219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007665112,"about_ca_topic_score_gemma":0.000002169935,"domain_scores_codex":[0.9989716,0.00004399763,0.0003924195,0.0001177461,0.0001707362,0.0003035024],"domain_scores_gemma":[0.9994636,0.00006136249,0.00009875402,0.0001003472,0.0002166205,0.00005929946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003165663,0.0001151425,0.3450726,0.001107057,0.0004254072,0.00004656876,0.05990012,0.00277568,0.2445971,0.0006139594,0.00007613656,0.3449537],"study_design_scores_gemma":[0.002536777,0.003508745,0.005709007,0.004240485,0.0001258073,0.0007354221,0.01967967,0.22967,0.7272393,0.004954208,0.0007005454,0.0009000519],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938808,0.004039435,0.001112509,0.0001000194,0.00006093079,0.000128096,8.520944e-7,0.000092688,0.0005846902],"genre_scores_gemma":[0.9972846,0.001123245,0.001410083,0.000002781631,0.00008340707,0.00001103084,3.96953e-7,0.00002496124,0.00005948741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4826422,"threshold_uncertainty_score":0.4001459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0986595939079421,"score_gpt":0.2592473919180162,"score_spread":0.1605877980100741,"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."}}