{"id":"W2157897703","doi":"10.1002/mame.201300112","title":"Biomimetic Micro‐<scp>P</scp>atterning of Epoxy Coatings for Enhanced Surface Hydrophobicity and Low Friction","year":2013,"lang":"en","type":"article","venue":"Macromolecular Materials and Engineering","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Epoxy; Materials science; Adhesion; Rigidity (electromagnetism); Composite material; Polymer; Nanotechnology; Flexibility (engineering); Surface modification; Chemical engineering","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":[0.00009810352,0.0003659671,0.0001916232,0.0001911302,0.0001490593,0.0002020911,0.000285214,0.0003241017,0.00117475],"category_scores_gemma":[0.0002605841,0.0002791577,0.0001716427,0.0001314114,0.0002249978,0.0002475799,0.0002288745,0.0004253318,0.0005174246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001846854,"about_ca_system_score_gemma":0.0001737393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002699595,"about_ca_topic_score_gemma":0.0009304778,"domain_scores_codex":[0.9998792,0.000008408602,0.000006695783,0.00002142785,0.00005712182,0.00002714783],"domain_scores_gemma":[0.9998265,0.00003820888,0.00005617253,0.00002807158,0.00002882879,0.00002224498],"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":[0.000007170694,0.000006033097,0.00002823979,0.00002182478,0.000001223527,0.00003515242,0.000007495962,0.00005831804,0.9985796,0.00008532347,0.00005501772,0.001114746],"study_design_scores_gemma":[0.000002762815,0.00003732821,0.0005264742,0.000001409466,0.000001613678,0.00008021142,0.000004112375,0.0006325926,0.9980114,0.00001684189,0.0006822289,0.000003079616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976385,0.0006020603,0.01726158,0.00009513178,0.00009166515,0.00005936877,0.0001738537,0.0002776463,0.005053717],"genre_scores_gemma":[0.9774326,0.000431444,0.01771899,0.00005346493,0.00002326042,0.00005358739,0.0001477818,0.0000634911,0.004075345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00117475,"threshold_uncertainty_score":0.003929913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006221026222900578,"score_gpt":0.1928035438270782,"score_spread":0.1865825176041777,"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."}}