{"id":"W1930977925","doi":"10.1007/s00107-012-0605-z","title":"Effect of surface preparation on the wettability of heat-treated jack pine wood surface by different liquids","year":2012,"lang":"en","type":"article","venue":"European Journal of Wood and Wood Products","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Natural Resources; University of Alberta; Université du Québec à Chicoutimi","funders":"","keywords":"Wetting; Materials science; Composite material; Cellulose; Penetration (warfare); Pine wood; Softwood; Contact angle; Lignin; Machining; Solid wood; Engineered wood; Pulp and paper industry; Chemical engineering; Chemistry; Layer (electronics); Metallurgy; 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":[0.001395819,0.0002771131,0.0004511829,0.00004071273,0.00006056327,0.00002443993,0.000167502,0.00003213427,0.00001992791],"category_scores_gemma":[0.0001116333,0.0001519921,0.00009232044,0.0001635109,0.00008049043,0.0002106082,0.00003686119,0.0002268125,0.00000790536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002766195,"about_ca_system_score_gemma":0.00001032348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004280785,"about_ca_topic_score_gemma":5.376974e-7,"domain_scores_codex":[0.9979967,0.0008050722,0.0005408417,0.0001474652,0.0002625964,0.0002472796],"domain_scores_gemma":[0.9991038,0.000175836,0.0001787244,0.0003166652,0.0001213117,0.0001035981],"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":[0.002209328,0.001049099,0.02282138,0.001127641,0.001142574,0.000009369143,0.00566489,0.00356907,0.9475567,0.00004298239,0.01131807,0.003488944],"study_design_scores_gemma":[0.001029221,0.004320347,0.004042888,0.0002083954,0.000162179,0.00001785901,0.00004547833,0.00006452845,0.9889184,0.000002939554,0.001027025,0.0001607803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884846,0.009286821,0.000007427245,0.0003822913,0.0002761972,0.0003130472,0.00001718816,0.00003146341,0.001200968],"genre_scores_gemma":[0.9992353,0.0003500875,0.00005651284,0.000007927064,0.0001628851,7.807953e-7,0.000006761828,0.00004028837,0.0001395065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04136171,"threshold_uncertainty_score":0.6198058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081694050291485,"score_gpt":0.209315298084189,"score_spread":0.1984983575812742,"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."}}