{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001745169,0.0001332479,0.0003087624,0.0001738951,0.00003735581,0.00001665945,0.0002290205,0.00009098433,0.00009596688],"category_scores_gemma":[0.0005915327,0.0001213276,0.00003533894,0.001152857,0.0001741811,0.0003301472,0.00003603677,0.0001069884,0.00005504514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006524783,"about_ca_system_score_gemma":0.0001483592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003518485,"about_ca_topic_score_gemma":0.00004046742,"domain_scores_codex":[0.9983598,0.0002790492,0.000602507,0.0002424647,0.0003435279,0.0001726492],"domain_scores_gemma":[0.9985027,0.0003733551,0.0002781006,0.0003670202,0.000430893,0.00004798378],"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":[0.0001029714,0.000146813,0.02135059,0.00003632879,0.000004704478,3.549011e-7,0.001028521,0.02704906,0.9482627,0.001698376,0.00007820046,0.0002413677],"study_design_scores_gemma":[0.0007366517,0.0001543149,0.009953299,0.00002551409,0.000007007525,9.894977e-7,0.0004638181,0.005971402,0.9822503,0.000221546,0.0001003678,0.0001147824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969165,0.00007191418,0.0003996564,0.0001960421,0.0002175957,0.0003213605,0.00005012255,0.00004360424,0.00178326],"genre_scores_gemma":[0.9977841,0.000005441872,0.002028175,0.000006336195,0.000006822713,0.00001399729,0.00002094842,0.00001190297,0.0001223197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0339876,"threshold_uncertainty_score":0.4947596,"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."}}