{"id":"W2493584895","doi":"","title":"Technical Note: Plasma Pretreatment Enhances Field Performance of Exterior Wood Coatings","year":2013,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; U.S. Forest Service; FPInnovations; Canadian Forest Service; Government of Canada","keywords":"Mold; Wetting; Coating; Materials science; Adhesion; Contact angle; Plasma; Composite material; Pine wood; Stain; Pulp and paper industry; Staining; Botany","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":[0.0009859101,0.0003655637,0.0002035337,0.0003955718,0.0007821188,0.0003338426,0.0004880134,0.0003952908,0.01188484],"category_scores_gemma":[0.001078851,0.0002569283,0.0002672052,0.0002715688,0.0003015792,0.0002968504,0.0003504911,0.0006236405,0.002792351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005990472,"about_ca_system_score_gemma":0.001028359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01110475,"about_ca_topic_score_gemma":0.02243782,"domain_scores_codex":[0.9995593,0.00005024537,0.00003709528,0.00007365199,0.0002283399,0.00005137008],"domain_scores_gemma":[0.998768,0.0001757628,0.00006621679,0.0002326039,0.0006539366,0.0001035131],"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":[0.0001231005,0.00004506499,0.0007528535,0.0001419381,0.000007769505,0.0001396921,0.0001216201,0.0001015443,0.9875681,0.0001580786,0.002138484,0.008701628],"study_design_scores_gemma":[0.00003706836,0.0003204684,0.00867533,0.00001293838,0.0000225619,0.0007005782,0.00008133568,0.0005585318,0.9622592,0.00006365689,0.02725203,0.00001632906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8446686,0.00182643,0.1148406,0.00340068,0.0008923641,0.003228965,0.003200648,0.002049333,0.02589242],"genre_scores_gemma":[0.7863211,0.002805839,0.1183135,0.0003965885,0.0002076853,0.001016711,0.003601496,0.0004274503,0.08690953],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01188484,"threshold_uncertainty_score":0.03975874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006213282365604133,"score_gpt":0.2026806885278066,"score_spread":0.1964674061622025,"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."}}