{"id":"W2908072702","doi":"","title":"Wood modifications for valued-added applications using nanotechnology-based approaches","year":2007,"lang":"en","type":"article","venue":"Corpus Université Laval (Université Laval)","topic":"Architecture and Computational Design","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Nanotechnology; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001484716,0.0002676948,0.0002363517,0.0005804097,0.0005715308,0.00002233838,0.0005020348,0.0002341944,0.000006744696],"category_scores_gemma":[0.000008596241,0.0003328557,0.0001910904,0.0008268746,0.0001029703,0.0001478741,0.00006669275,0.0002328463,0.00001034563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000474382,"about_ca_system_score_gemma":0.0001351491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009649363,"about_ca_topic_score_gemma":0.000280274,"domain_scores_codex":[0.9987732,0.00002243486,0.0001878619,0.0003781798,0.0002088585,0.0004294545],"domain_scores_gemma":[0.999047,0.0001859062,0.00008599588,0.00038587,0.0001356554,0.000159508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002771034,0.0002385977,0.0003697154,0.0002051926,0.0004086307,0.00005303401,0.002913736,0.5553191,0.1507604,0.1564362,0.0005909562,0.1324274],"study_design_scores_gemma":[0.004057096,0.0002396419,0.001420731,0.00008288922,0.0007354713,0.00007219137,0.003085467,0.7130842,0.1921632,0.01385985,0.06957642,0.001622819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08226556,0.0004388309,0.91121,0.000258068,0.00009956495,0.000741581,0.00007224485,0.0007655597,0.004148604],"genre_scores_gemma":[0.9484236,0.00003842905,0.05068415,0.00005010599,0.00008798979,0.0000121057,0.0001282794,0.00006310381,0.0005122112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8661581,"threshold_uncertainty_score":0.9999123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326516550848354,"score_gpt":0.1958945979727797,"score_spread":0.1726294324642962,"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."}}