{"id":"W2261405283","doi":"10.1680/jsuin.15.00009","title":"Effect of extractives in plasma modification of wood surfaces","year":2015,"lang":"en","type":"article","venue":"Surface Innovations","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; FPInnovations; Université Laval","funders":"","keywords":"Contact angle; Wetting; Surface modification; Nitrogen; Dielectric barrier discharge; Oxygen; Materials science; Plasma; Atmospheric pressure; Solvent; Black spruce; Atmospheric-pressure plasma; Plasma cleaning; Chemical engineering; Chemistry; Analytical Chemistry (journal); Composite material; Dielectric; Environmental chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009727223,0.0004077519,0.0002131869,0.0001307203,0.0001611653,0.0001916052,0.0001553188,0.0002331021,0.0009998727],"category_scores_gemma":[0.000200189,0.0001373329,0.0002615933,0.0001187846,0.00016632,0.000199262,0.0001866042,0.0003702772,0.0001506898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009956696,"about_ca_system_score_gemma":0.00007476533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004902895,"about_ca_topic_score_gemma":0.0009987035,"domain_scores_codex":[0.9998746,0.00001902345,0.000006975254,0.00002903962,0.00003748378,0.0000328976],"domain_scores_gemma":[0.9998854,0.00004102088,0.00002662197,0.00001263423,0.00002088507,0.00001347238],"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":[0.00004322685,0.000005051218,0.0001246072,0.00002944078,0.000006133111,0.00002838582,0.00002438568,0.00003015387,0.9989084,0.000005447099,0.000004645419,0.0007901272],"study_design_scores_gemma":[0.000002042789,0.0001445393,0.002718091,0.000001759045,0.000008240371,0.00005260429,0.00002207847,0.00009809683,0.9964641,0.00000855196,0.0004772412,0.000002781774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997301,0.0009020885,0.001202712,0.00001630978,0.00001094147,0.00001294914,0.00007442148,0.00001291923,0.0004666639],"genre_scores_gemma":[0.9966048,0.0007377485,0.001201361,0.00003536332,0.000008912695,0.00001744766,0.0001548976,0.00001472291,0.001224796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009998727,"threshold_uncertainty_score":0.003344893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04742951074886279,"score_gpt":0.3171739928893603,"score_spread":0.2697444821404975,"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."}}