{"id":"W3215051760","doi":"10.5772/intechopen.101199","title":"Wood and Engineered Wood Products: Stress and Deformation","year":2022,"lang":"en","type":"book-chapter","venue":"IntechOpen eBooks","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation","keywords":"Laminated veneer lumber; Engineering; Deformation (meteorology); Veneer; Oriented strand board; Architectural engineering; Engineered wood; Structural engineering; Materials science; Civil engineering; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000646988,0.0003376823,0.0002834118,0.0001587656,0.00008295195,0.00009665872,0.0001229188,0.0001502879,0.0001704487],"category_scores_gemma":[0.000006869775,0.0003030327,0.00003491474,0.00001069223,0.00004963803,0.0001340579,0.0001353954,0.0003718422,0.0000225616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007544118,"about_ca_system_score_gemma":0.00001695158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001590564,"about_ca_topic_score_gemma":0.00002046707,"domain_scores_codex":[0.9992145,0.000006644444,0.0002332933,0.0002312547,0.0001454321,0.0001688349],"domain_scores_gemma":[0.9995999,0.00001985698,0.0000453811,0.0002479856,0.00003141709,0.00005548291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003264456,0.00007105347,0.0000551042,0.006941606,0.004433108,0.0002684708,0.01744207,0.0005296773,0.004568795,0.1203897,0.009485835,0.8354882],"study_design_scores_gemma":[0.001040801,0.0003453599,0.00001792729,0.0007744217,0.0003021715,0.0001174469,0.0002034237,0.0003920507,0.02156104,0.004226627,0.9697523,0.001266459],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006385935,0.005735142,0.00002157842,0.00005667671,0.0003597978,0.0008341484,0.0001578155,0.0004718446,0.9859771],"genre_scores_gemma":[0.6750348,0.0009697684,0.0004166766,0.00004033923,0.0002125985,0.0002096761,0.0002089194,0.0002248663,0.3226824],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9602664,"threshold_uncertainty_score":0.9999422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335863129656716,"score_gpt":0.1785152469076619,"score_spread":0.1651566156110947,"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."}}