{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005134753,0.000203435,0.0002738839,0.0002606223,0.0004924473,0.00009417476,0.0004622144,0.0001303989,0.0001190211],"category_scores_gemma":[0.00001134096,0.0001464908,0.00005139358,0.001423014,0.003893769,0.0007856053,0.0001488355,0.0001599971,0.00002630548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003145487,"about_ca_system_score_gemma":0.00005835553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002058687,"about_ca_topic_score_gemma":0.000001409489,"domain_scores_codex":[0.9983118,0.00000513689,0.0002862994,0.0004186821,0.0004501873,0.0005279329],"domain_scores_gemma":[0.9994056,0.0000172591,0.00004983603,0.0002939814,0.0001375304,0.0000958584],"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":[0.000005697893,0.00006108091,0.0005133935,0.0001053823,0.00003014539,8.946021e-7,0.002143929,0.0001505657,0.8716657,0.0001622499,0.0001493545,0.1250116],"study_design_scores_gemma":[0.0003826649,0.0002497325,0.0003305154,0.0001075594,0.00002923744,0.00002609335,0.0004519058,0.01561532,0.9810088,0.0008865237,0.0006618034,0.0002498433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951411,0.001138367,0.00002310154,0.0005271235,0.0000651615,0.0001458741,0.000006228879,0.0001710258,0.002781997],"genre_scores_gemma":[0.9883109,0.0001685618,0.0110893,0.00002583553,0.00001714015,0.000009745934,0.000001479803,0.00001028353,0.0003667435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1247618,"threshold_uncertainty_score":0.9988171,"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."}}