{"id":"W567320709","doi":"10.1007/s40725-015-0017-5","title":"Dimensional Stabilization of Wood","year":2015,"lang":"en","type":"article","venue":"Current Forestry Reports","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Ministère du Développement Économique, de l’Innovation et de l’Exportation; Université du Québec à Chicoutimi","keywords":"Wax; Absorption of water; Materials science; Moisture; Composite material; Chemical modification; Engineered wood; Pulp and paper industry; Polymer chemistry; Engineering","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":[0.00005781453,0.00007530536,0.00009242103,0.00002960858,0.00001086764,0.000006125026,0.00002298439,0.00002711594,0.00002336869],"category_scores_gemma":[0.00002237664,0.00006091428,0.00002967022,0.00006417947,0.0000192206,0.0000811488,0.0000140958,0.00004082223,0.000006453078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002315727,"about_ca_system_score_gemma":0.00003099899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003098402,"about_ca_topic_score_gemma":0.000001628104,"domain_scores_codex":[0.9994805,0.000005545891,0.0001983235,0.00007886054,0.0001490464,0.0000877491],"domain_scores_gemma":[0.9996953,0.000005834275,0.00004125649,0.0001438372,0.00005355862,0.00006021689],"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":[0.00004436692,0.0003963035,0.797883,0.0005306396,0.0001679051,0.0001535943,0.001245859,0.1208091,0.001685304,0.0004572555,0.03995586,0.03667079],"study_design_scores_gemma":[0.005679748,0.001476808,0.1607782,0.001986931,0.0007404567,0.001564549,0.0007096337,0.1002346,0.3682228,0.05158087,0.3033544,0.003671028],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931044,0.003501438,0.0001135511,0.000006309991,0.001108101,0.00008535231,0.000002622522,0.0001041635,0.001974083],"genre_scores_gemma":[0.9997211,0.00001425789,0.000087122,6.584876e-7,0.00005256781,0.000008871936,0.00005162379,0.0000108361,0.00005299286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6371049,"threshold_uncertainty_score":0.2484012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04185984250297162,"score_gpt":0.2446662378694295,"score_spread":0.2028063953664579,"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."}}