{"id":"W4297174813","doi":"10.1007/s00107-022-01884-6","title":"Analysis of the interaction between internal porosity and oriented strand board performance using X-ray computed tomography","year":2022,"lang":"en","type":"article","venue":"European Journal of Wood and Wood Products","topic":"Material Properties and Processing","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Porosity; Materials science; Void (composites); Composite material; Oriented strand board; Absorption of water; Swelling","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":[0.0005374489,0.00009802267,0.0002285984,0.0001832619,0.0001681999,0.00005139987,0.0001306148,0.000007770961,0.00001211728],"category_scores_gemma":[0.00001039804,0.00006969015,0.00005636485,0.000462375,0.00003913996,0.0001766022,0.0001049895,0.0002378652,6.477389e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001403058,"about_ca_system_score_gemma":0.00001018245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000543546,"about_ca_topic_score_gemma":3.808249e-7,"domain_scores_codex":[0.9991204,0.0001697962,0.0003470308,0.0001004137,0.0001617804,0.0001006135],"domain_scores_gemma":[0.9995577,0.0000104861,0.0002142314,0.00009508652,0.00007959172,0.00004290539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009717989,0.000201801,0.2955903,0.00167117,0.006064446,0.00005503808,0.01629687,0.219751,0.3468162,0.00001118619,0.0004193546,0.1121509],"study_design_scores_gemma":[0.002988239,0.001763731,0.8094613,0.0009331775,0.00359614,0.0003286288,0.002178313,0.05344018,0.1136297,0.00001248989,0.01083521,0.0008328476],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981202,0.0008704041,0.0002975429,0.00005855149,0.0004742541,0.00004701126,0.00001042127,0.00001063232,0.0001109383],"genre_scores_gemma":[0.9994453,0.00004118697,0.0003148885,0.0000131994,0.000162479,1.107673e-7,0.000001792302,0.00001327232,0.000007820266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.513871,"threshold_uncertainty_score":0.2841882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445841895964463,"score_gpt":0.1979948514871001,"score_spread":0.1835364325274554,"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."}}