{"id":"W2581617541","doi":"10.1039/c6ra25888c","title":"Wetting characteristics of underwater micro-patterned surfaces","year":2017,"lang":"en","type":"article","venue":"RSC Advances","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Toronto Public Health","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wetting; Underwater; Nanotechnology; Materials science; Geology; Composite material; Oceanography","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":[0.0002551313,0.0001094344,0.0002178723,0.00002240768,0.0003019073,0.0001225159,0.000430067,0.00004064015,0.0005008059],"category_scores_gemma":[0.00009903445,0.00009024783,0.00004121668,0.00001936565,0.000221822,0.0004313191,0.00008750031,0.00005071651,0.0001809044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001524478,"about_ca_system_score_gemma":0.00001937143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007418951,"about_ca_topic_score_gemma":0.00002125687,"domain_scores_codex":[0.9991021,0.00004085425,0.0002637134,0.000230907,0.000167317,0.0001951162],"domain_scores_gemma":[0.9990414,0.00005773499,0.0002937581,0.0004860241,0.00007524646,0.00004582615],"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":[0.00001538341,0.00002574554,0.05400656,0.00003483284,0.000002580707,0.000001961951,0.0002194947,0.00001959357,0.9436756,0.00005200667,0.00001777826,0.001928408],"study_design_scores_gemma":[0.0001780211,0.00001808715,0.07801441,0.0000326101,0.000005965216,0.000001708217,0.0001048577,0.0001366763,0.91681,0.000236855,0.004329489,0.000131268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997116,0.0001930866,0.0006773429,0.0003363645,0.000502196,0.00007968638,0.00003840646,0.00003886433,0.001018007],"genre_scores_gemma":[0.9963861,0.00009690051,0.002846319,0.00006823825,0.00004943669,0.000003827015,0.000004707392,0.00001040117,0.0005341022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02686561,"threshold_uncertainty_score":0.5483474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816704506771075,"score_gpt":0.2870777170417891,"score_spread":0.2589106719740784,"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."}}