{"id":"W2414055614","doi":"","title":"Understanding effects of drying methods on wood mechanical properties at ultra and cellular levels","year":2016,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations","keywords":"Nanoindentation; Wood drying; Kiln; Composite material; Materials science; Vacuum drying; Softwood; Oriented strand board; Water content; Young's modulus; Flexural strength; Moisture; Equilibrium moisture content; Humidity; Pulp and paper industry; Freeze-drying; Chemistry; Metallurgy; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005752216,0.0003251183,0.0002663989,0.0003417227,0.0001600251,0.0002971922,0.0001802489,0.0003020902,0.0005178331],"category_scores_gemma":[0.0007456402,0.0001585328,0.0002723025,0.0002179694,0.0002074404,0.001019133,0.0001502459,0.0004666556,0.0001133761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369727,"about_ca_system_score_gemma":0.0001186487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006180212,"about_ca_topic_score_gemma":0.001576085,"domain_scores_codex":[0.9997488,0.00003438137,0.00002750539,0.00005608097,0.00009980871,0.00003350329],"domain_scores_gemma":[0.9994156,0.0002597334,0.0001301681,0.00004475643,0.0001268861,0.00002280547],"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":[0.00004146597,0.00003651919,0.001956645,0.0001572571,0.00001196833,0.00002839594,0.00004879003,0.000197653,0.9876315,0.00003572205,0.00001462148,0.009839442],"study_design_scores_gemma":[0.000003010537,0.0004500386,0.06045216,0.00002229319,0.0000542756,0.0001486819,0.0001607358,0.001346176,0.9356027,0.00008240261,0.001661239,0.00001626724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771014,0.01001973,0.01147367,0.00008494774,0.00002580974,0.00004578031,0.0001251549,0.00003091562,0.001092563],"genre_scores_gemma":[0.9834893,0.005358953,0.01011123,0.0001487025,0.00002496244,0.00003425956,0.0001920106,0.00002593597,0.0006145992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006180212,"threshold_uncertainty_score":0.003042042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04903069739147076,"score_gpt":0.2446257414464869,"score_spread":0.1955950440550162,"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."}}