{"id":"W3108005974","doi":"10.1002/smll.202004886","title":"Hierarchical Structures, with Submillimeter Patterns, Micrometer Wrinkles, and Nanoscale Decorations, Suppress Biofouling and Enable Rapid Droplet Digitization","year":2020,"lang":"en","type":"article","venue":"Small","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Nanotechnology; Substrate (aquarium); Nanoscopic scale; Micrometer; Adhesion; Biofouling; Composite material; Chemistry; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106285,0.0001589556,0.0001849106,0.0000464004,0.0001633081,0.0002753679,0.0001166233,0.00007659382,0.0003527089],"category_scores_gemma":[0.00003651578,0.0001258755,0.00001869595,0.0001057639,0.0001237825,0.0001846858,0.00008653502,0.0001088073,0.00001748914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001230058,"about_ca_system_score_gemma":0.00002598568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006447805,"about_ca_topic_score_gemma":0.00004068034,"domain_scores_codex":[0.9989007,0.00009530672,0.0002039304,0.0004315034,0.0001442148,0.0002243845],"domain_scores_gemma":[0.9994827,0.00006340563,0.00005159773,0.000170808,0.00004931242,0.0001821739],"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":[0.00008466849,0.00002563696,0.03184085,0.00006671911,0.00001009649,0.000008978398,0.0009479192,0.00002198287,0.965202,0.0001239438,0.0001537547,0.001513391],"study_design_scores_gemma":[0.001454342,0.0003488582,0.0449366,0.0000424464,0.00004809773,0.00005072269,0.000342281,0.002721018,0.9408849,0.0003275252,0.008224758,0.0006184827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919847,0.0002659668,0.006329294,0.0008885394,0.00006561889,0.0002178169,0.0001034673,0.00007398661,0.00007063729],"genre_scores_gemma":[0.991477,0.0001086615,0.007346413,0.0008479147,0.00005632306,0.00001147284,0.00007931422,0.00002064835,0.00005231558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02431719,"threshold_uncertainty_score":0.5133054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0224226461379079,"score_gpt":0.2015731250782212,"score_spread":0.1791504789403133,"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."}}