{"id":"W2044319069","doi":"10.1155/2015/630905","title":"Visualizing the Microdistribution of Zinc Borate in Oriented Strand Board Using X-Ray Microcomputed Tomography and SEM-EDX","year":2015,"lang":"en","type":"article","venue":"Journal of Composites","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; FPInnovations; Australian National University","keywords":"Zinc; Zinc borate; Oriented strand board; Materials science; Composite material; Leaching (pedology); Boron; Biocide; Metallurgy; Chemistry; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.00020122,0.00009784937,0.000202524,0.0001315972,0.0000325818,0.00004023053,0.00006927399,0.0000340708,0.000001026784],"category_scores_gemma":[0.000004866079,0.00006505108,0.0000490188,0.0002243777,0.0000415028,0.000154774,0.00001480141,0.0001089201,2.45909e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003460444,"about_ca_system_score_gemma":0.00001816335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002301372,"about_ca_topic_score_gemma":0.000006723808,"domain_scores_codex":[0.9993775,0.00004974427,0.0003092239,0.00004605902,0.0001104573,0.0001069461],"domain_scores_gemma":[0.9996206,0.00004191133,0.00011038,0.00005342748,0.0001260113,0.00004766823],"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":[0.0002329206,0.00008695019,0.1005509,0.00007843037,0.0002560862,0.00002268747,0.002342616,0.02201282,0.873484,0.00004307417,0.000330999,0.0005584568],"study_design_scores_gemma":[0.005607057,0.0008251498,0.07138731,0.0009987354,0.0003254219,0.0002180896,0.001484576,0.05634193,0.8596974,0.0002593265,0.0024265,0.0004284841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905866,0.007045132,0.002086508,0.00004891789,0.0001120285,0.00007017083,0.000006539482,0.00001119381,0.00003286604],"genre_scores_gemma":[0.9970847,0.0000712996,0.002780427,0.000006018932,0.00004411214,3.328031e-7,0.000003241671,0.000008244368,0.000001584194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03432911,"threshold_uncertainty_score":0.2652706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824838574968509,"score_gpt":0.2343324003169373,"score_spread":0.2160840145672522,"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."}}