{"id":"W2277166086","doi":"","title":"Acrylate Wood Densification: Effects of Vacuum Time and Nanoparticles on Chemical Retention, Penetration, and Resin Distribution","year":2010,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada","keywords":"Materials science; Composite material; Penetration (warfare); Nanoparticle; Maple; Scanning electron microscope; Nanotechnology","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":[0.0002072595,0.0003522201,0.0001734532,0.0001361474,0.00008976884,0.0002144507,0.0001348874,0.0001598378,0.0009662547],"category_scores_gemma":[0.0003089151,0.0002621128,0.0001564177,0.0001054587,0.0001484255,0.0003259935,0.0001239171,0.0002466231,0.0001655075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308601,"about_ca_system_score_gemma":0.0001037921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005247341,"about_ca_topic_score_gemma":0.001372733,"domain_scores_codex":[0.9998969,0.00001335613,0.000008418813,0.00002522687,0.00003012295,0.00002586193],"domain_scores_gemma":[0.9998139,0.0000669711,0.00005698559,0.00001510118,0.00002642001,0.00002070608],"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":[0.00002226813,0.000006725025,0.00007900054,0.00001831344,0.000002055463,0.000009041065,0.00001302173,0.00004169016,0.9989103,0.00001369954,0.000003477383,0.0008804151],"study_design_scores_gemma":[0.00000135138,0.0001104903,0.001256319,0.00000134549,0.00000471761,0.00002441909,0.000009071224,0.0002075589,0.9981713,0.00000383831,0.0002076053,0.00000195759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962598,0.0007684681,0.002286624,0.00001181617,0.000006032,0.00001228434,0.00003569467,0.00003436597,0.0005848749],"genre_scores_gemma":[0.9964638,0.0004902951,0.002095318,0.00001121749,0.000002868675,0.000009735165,0.0000552546,0.00002194941,0.000849599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009662547,"threshold_uncertainty_score":0.003232419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004720921652166101,"score_gpt":0.1868258775559928,"score_spread":0.1821049559038267,"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."}}