{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00177952,0.0002430929,0.0003525116,0.0003072587,0.0009486123,0.0002455995,0.0007617396,0.0002279555,0.00001719175],"category_scores_gemma":[0.0001122243,0.0001934615,0.00004034689,0.002786403,0.01018183,0.001319813,0.0007452781,0.0003313354,0.000006594548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003888228,"about_ca_system_score_gemma":0.0002335412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002285635,"about_ca_topic_score_gemma":0.0000464406,"domain_scores_codex":[0.9973444,0.00001707367,0.0003999447,0.0008568776,0.0005239846,0.0008577337],"domain_scores_gemma":[0.9988581,0.00004800751,0.0001736824,0.0004291881,0.0002815805,0.0002094262],"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":[0.00001456233,0.00006395973,0.004292638,0.00002319531,0.000003235106,0.00000211523,0.0006755979,8.802745e-7,0.9880854,0.00141324,0.00004714854,0.005378061],"study_design_scores_gemma":[0.0006015567,0.0003417144,0.007911154,0.00005992947,0.00001554052,0.00009418177,0.0005617054,0.001144726,0.9875739,0.0008395917,0.0005917606,0.0002642051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965824,0.001019587,0.00001210462,0.001710105,0.0001506526,0.0002669785,0.00002450241,0.0001105655,0.0001230769],"genre_scores_gemma":[0.9961655,0.0002228614,0.003390324,0.00009361078,0.00001640587,0.00002043423,0.000002014655,0.000007881935,0.00008101854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009233215,"threshold_uncertainty_score":0.9925119,"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."}}