{"id":"W285253683","doi":"","title":"Estimating Maximum Water Absorption of Wood Fiber/Polymer Fluff Composites","year":2000,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bayer Canada; Michigan Technological University","keywords":"Composite material; Absorption of water; Materials science; Polymer; Swelling; Linear density; Fiber; Absorption (acoustics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002867062,0.0004719756,0.0003155804,0.0004121348,0.0001165886,0.0002978562,0.0003052866,0.0004398136,0.0003206426],"category_scores_gemma":[0.0005725859,0.0003036923,0.0003530934,0.0001682733,0.0001605037,0.0004954084,0.0001603771,0.0002669806,0.0001991254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003187651,"about_ca_system_score_gemma":0.0002348826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00404687,"about_ca_topic_score_gemma":0.004188128,"domain_scores_codex":[0.9998789,0.00001703457,0.000005043993,0.00003277099,0.0000494355,0.00001676827],"domain_scores_gemma":[0.9998183,0.0001024561,0.00003342819,0.00001143735,0.00002688932,0.00000760764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000256692,0.0001327803,0.01082479,0.0001573762,0.00004175318,0.0001340767,0.0000683234,0.5526649,0.3962293,0.000296569,0.0001016843,0.03909176],"study_design_scores_gemma":[0.000003526074,0.0000780257,0.004765437,0.000003836225,0.00001145916,0.00004622041,0.00001387893,0.9196316,0.07513851,0.0001082357,0.0001873393,0.00001191904],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7833213,0.0002850041,0.2150331,0.00002077886,0.000006236749,0.00002210348,0.00008913396,0.0003554377,0.0008668454],"genre_scores_gemma":[0.9779545,0.0001523342,0.02106598,0.000005849517,0.000002125532,0.0000239926,0.00008430783,0.00002683459,0.0006841551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00404687,"threshold_uncertainty_score":0.008046627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006869329560493194,"score_gpt":0.196060039203365,"score_spread":0.1891907096428718,"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."}}