{"id":"W2052992105","doi":"10.1002/app.24092","title":"Water vapor adsorption and volumetric swelling of melt‐impregnated wood–polymer composites","year":2006,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intertek (Canada); University of New Brunswick","funders":"","keywords":"Polyethylene; Materials science; Adsorption; Composite material; Swelling; Polymer; Moisture; Water vapor; Equilibrium moisture content; Chemistry; Sorption; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003913484,0.0004931721,0.0003582786,0.0004771693,0.0001492007,0.0002228813,0.0001582221,0.0001682531,0.000848337],"category_scores_gemma":[0.0005688659,0.000237652,0.0003698574,0.0003548453,0.0001832338,0.0002944014,0.0001461155,0.0003873155,0.0001619545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002521916,"about_ca_system_score_gemma":0.0001518395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001119514,"about_ca_topic_score_gemma":0.00149992,"domain_scores_codex":[0.9996227,0.00007250864,0.00002053287,0.00005713423,0.0001698723,0.00005722901],"domain_scores_gemma":[0.9996141,0.0001350037,0.0001075507,0.00002443178,0.00006582171,0.00005319978],"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":[0.0001352271,0.0000394233,0.0003657059,0.00003403353,0.000009275563,0.0000101316,0.00002226325,0.0002246882,0.9978356,0.000009981508,0.000007551688,0.001306152],"study_design_scores_gemma":[0.000003833066,0.0003896056,0.00493664,0.000002500197,0.00001259228,0.00002220522,0.000009906895,0.001185025,0.9933164,0.000008750611,0.0001074266,0.000005143625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997566,0.0003936491,0.001484391,0.000004453536,0.000005956047,0.00001328279,0.0001058045,0.00003225583,0.0003942352],"genre_scores_gemma":[0.9966948,0.0002313079,0.002087566,0.000006148189,0.000004854016,0.00001587251,0.0002324086,0.00002276431,0.0007042328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001119514,"threshold_uncertainty_score":0.002837896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006151993570651595,"score_gpt":0.2135521359854132,"score_spread":0.2074001424147616,"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."}}