{"id":"W2028266590","doi":"10.1515/hf.2010.052","title":"Characterizing macro-voids of uncompressed mats and finished particleboard panels using response surface methodology and X-ray CT","year":2010,"lang":"en","type":"article","venue":"Holzforschung","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Natural Resources Limited","keywords":"Materials science; Void (composites); Composite material; Porosity; Volume fraction; Particle size; Particle (ecology); Chemical engineering; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003919482,0.000329896,0.0002140124,0.0004546317,0.0001029706,0.0003761481,0.000214002,0.0002179715,0.0005148317],"category_scores_gemma":[0.000504795,0.0001778129,0.0002345825,0.0002337508,0.0002215281,0.0002964482,0.0001916348,0.0002662105,0.0001047275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001542744,"about_ca_system_score_gemma":0.00007694612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004832206,"about_ca_topic_score_gemma":0.000952733,"domain_scores_codex":[0.9997181,0.00003446843,0.00001622321,0.00005123112,0.0001497646,0.0000300981],"domain_scores_gemma":[0.999633,0.0001430387,0.000106222,0.00002827295,0.00006415416,0.00002544981],"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":[0.00006414339,0.00002079749,0.001032364,0.00002728856,0.000005778225,0.00001751595,0.00002429907,0.0006313641,0.9957536,0.00002677597,0.000007259021,0.002388796],"study_design_scores_gemma":[0.00000440407,0.0003477054,0.01948632,0.000003781254,0.00001380706,0.00005774377,0.00005698761,0.006497749,0.97324,0.00003433833,0.0002498777,0.000007175012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815333,0.0002311345,0.01760433,0.000007040212,0.000004171382,0.0000232582,0.0001218538,0.00009930738,0.0003755291],"genre_scores_gemma":[0.9914419,0.00007936845,0.007712209,0.000009258996,0.000002213943,0.00002938193,0.0001584845,0.00003076347,0.0005363275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005148317,"threshold_uncertainty_score":0.002072811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04835063403453645,"score_gpt":0.3025784897464209,"score_spread":0.2542278557118844,"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."}}