{"id":"W2621333616","doi":"10.1039/c7ra03334f","title":"Enhancing the water repellency of wood surfaces by atmospheric pressure cold plasma deposition of fluorocarbon film","year":2017,"lang":"en","type":"article","venue":"RSC Advances","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Natural Sciences and Engineering Research Council of Canada; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; FPInnovations","keywords":"Fluorocarbon; Deposition (geology); Atmospheric-pressure plasma; Plasma; Atmospheric pressure; Environmental chemistry; Chemical engineering; Chemistry; Materials science; Composite material; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007424264,0.000280802,0.0001277951,0.0001062154,0.000140219,0.0002205811,0.0001912432,0.0003208123,0.001520146],"category_scores_gemma":[0.0001362412,0.0001059305,0.0001888444,0.00009393659,0.000207899,0.0003420635,0.0001525053,0.0003168454,0.0001880617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001075391,"about_ca_system_score_gemma":0.00007895646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003307141,"about_ca_topic_score_gemma":0.0005490365,"domain_scores_codex":[0.9999374,0.000005299898,0.000001583494,0.00001542591,0.00002056291,0.00001962634],"domain_scores_gemma":[0.9999465,0.00002197177,0.00001210629,0.00000466377,0.00001012938,0.000004564057],"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":[0.00001226599,0.000002939262,0.0000353327,0.0000379739,0.000001096185,0.00003240642,0.00001182621,0.00003474523,0.9987213,0.00005777189,0.00002983344,0.001022412],"study_design_scores_gemma":[0.000001588546,0.0000609822,0.0005331567,0.000002057162,0.000002336853,0.0000675468,0.0000140926,0.0002287706,0.9983172,0.00001786281,0.0007522582,0.00000212412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876482,0.001515914,0.006164141,0.0001143509,0.00004528169,0.0000174674,0.00006102785,0.00008283838,0.004350609],"genre_scores_gemma":[0.9943605,0.000645343,0.003030146,0.00003692131,0.00001148485,0.00001117513,0.00003433629,0.00002107822,0.001848938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001520146,"threshold_uncertainty_score":0.005085409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006574946180237362,"score_gpt":0.2458971929456191,"score_spread":0.2393222467653817,"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."}}