{"id":"W2081416222","doi":"10.1007/s00226-012-0505-8","title":"Improved water repellency of black spruce wood surfaces after treatment in carbon tetrafluoride plasmas","year":2012,"lang":"en","type":"article","venue":"Wood Science and Technology","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; FPInnovations; Université Laval; Kruger (Canada)","funders":"National Research Council Canada; FPInnovations","keywords":"Contact angle; Fluorocarbon; Tetrafluoride; Fluoropolymer; Wetting; Plasma; X-ray photoelectron spectroscopy; Materials science; Substrate (aquarium); Layer (electronics); Carbon fibers; Black spruce; Chemistry; Analytical Chemistry (journal); Chemical engineering; Composite material; Environmental chemistry","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":[0.0001072048,0.0003220826,0.0002053726,0.0001597412,0.0001964453,0.0002124431,0.0001888615,0.0003065589,0.001016393],"category_scores_gemma":[0.0001076712,0.0001716931,0.0002341635,0.00008345775,0.0001650006,0.0001856958,0.0001135768,0.0003540485,0.0001646175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001752504,"about_ca_system_score_gemma":0.0001225928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001622731,"about_ca_topic_score_gemma":0.002218328,"domain_scores_codex":[0.9999028,0.000006458329,0.000003232787,0.00001723877,0.00002839403,0.00004182087],"domain_scores_gemma":[0.9999434,0.00001043644,0.00001054712,0.00000591705,0.00001801087,0.0000117909],"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":[0.00002315433,0.000003198121,0.00003726475,0.00000769775,0.000001460961,0.00001743518,0.000009694623,0.00002598821,0.999458,0.00001362916,0.0000131765,0.0003893849],"study_design_scores_gemma":[0.00000225226,0.0000426279,0.001215378,7.404387e-7,0.000002881575,0.0000314721,0.0000100043,0.0002459827,0.9981841,0.000007473717,0.0002551362,0.000001962763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974555,0.0004283455,0.001023925,0.00003195934,0.00002018137,0.000007235679,0.00004832873,0.00004084365,0.0009435107],"genre_scores_gemma":[0.9975943,0.0001734426,0.0005565402,0.00002099299,0.000006070825,0.000005403913,0.00006671546,0.00001208678,0.001564404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001622731,"threshold_uncertainty_score":0.003400147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213595743687664,"score_gpt":0.2332304730390125,"score_spread":0.2210945156021358,"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."}}