{"id":"W2252775201","doi":"","title":"Montmorillonite Nanoparticle Distribution and Morphology in Melamine-Urea-Formaldehyde Resin-Impregnated Wood Nanocomposites","year":2010,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; U.S. Department of Agriculture","keywords":"Montmorillonite; Nanocomposite; Materials science; Nanoparticle; Interphase; Transmission electron microscopy; Composite material; Electron microprobe; Middle lamella; Urea-formaldehyde; Chemical engineering; Melamine; Adhesive; Layer (electronics); Chemistry; Nanotechnology; Cell wall","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":[0.0001025107,0.0001960344,0.0001278058,0.000272685,0.0001193541,0.0002172172,0.0001427293,0.000196999,0.0004436938],"category_scores_gemma":[0.0001403573,0.0001688117,0.0001075402,0.00009048932,0.0001580804,0.0001762257,0.00008571082,0.0001736441,0.0001070553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001794768,"about_ca_system_score_gemma":0.0000676299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163083,"about_ca_topic_score_gemma":0.002095775,"domain_scores_codex":[0.999926,0.000007475964,0.000004112562,0.00002619616,0.00001999832,0.00001615833],"domain_scores_gemma":[0.999894,0.00003186807,0.00002365336,0.000008434991,0.0000252053,0.00001690705],"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":[0.00001804945,0.000003615364,0.00007926593,0.000006857851,0.000001048337,0.00001511698,0.000008075077,0.00003560258,0.9994769,0.00001186028,0.000002384192,0.000341374],"study_design_scores_gemma":[0.000001764914,0.00006081706,0.00300429,0.000001120919,0.000005647456,0.00006233344,0.00001330537,0.0008963064,0.9957495,0.00001103941,0.0001914627,0.000002402039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963271,0.0003280117,0.002687091,0.00001008966,0.000004652006,0.000007118563,0.00005380904,0.00004105132,0.0005411757],"genre_scores_gemma":[0.9955919,0.0001320805,0.003098805,0.000009454428,0.000002866564,0.000009989094,0.0000712476,0.00002051293,0.001063026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001163083,"threshold_uncertainty_score":0.002312601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005809957023782853,"score_gpt":0.2155831386696307,"score_spread":0.2097731816458479,"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."}}