{"id":"W4408018870","doi":"10.2139/ssrn.5159002","title":"Multimaterial 3d Printing of Structured Surfaces for Increased Hydrophobicity of Biocomposite Materials","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biocomposite; Polymer science; Materials science; Nanotechnology; Composite material","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":[0.0001607322,0.0003423462,0.0002635598,0.0003016108,0.0001654539,0.000551315,0.0003172298,0.000613099,0.002442774],"category_scores_gemma":[0.0002574354,0.0002981167,0.0005398814,0.0002239056,0.0002060752,0.0002657079,0.0004450404,0.0006425866,0.0008490519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002838282,"about_ca_system_score_gemma":0.000119571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000130853,"about_ca_topic_score_gemma":0.0003650954,"domain_scores_codex":[0.9997897,0.00001351813,0.00001576147,0.00005170433,0.00009165428,0.00003776397],"domain_scores_gemma":[0.9998474,0.00003987812,0.00002949733,0.00005258203,0.00001584727,0.00001486438],"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":[0.0000111857,0.000007403429,0.00002664389,0.00002312807,0.000003494232,0.00005359105,0.00001256544,0.0002234006,0.9977432,0.0001382459,0.00006852621,0.001688565],"study_design_scores_gemma":[0.000003571312,0.00002174571,0.0003224809,0.000001381758,0.000004151357,0.00007055904,0.000004115163,0.001607367,0.9970549,0.00004486528,0.0008604618,0.000004398805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9282011,0.001203798,0.05790036,0.0002018822,0.0003670987,0.00006737219,0.0006351552,0.001414618,0.0100086],"genre_scores_gemma":[0.9422181,0.0003751286,0.05133365,0.0001047396,0.00003785494,0.00004376859,0.0002999386,0.0002366119,0.00535016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002442774,"threshold_uncertainty_score":0.008171916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303152027372653,"score_gpt":0.2687453314185066,"score_spread":0.2557138111447801,"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."}}