{"id":"W1990207923","doi":"10.1080/00218460902996390","title":"The Crowding Model as a Tool to Understand and Fabricate Gecko-Inspired Dry Adhesives","year":2009,"lang":"en","type":"article","venue":"The Journal of Adhesion","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Gecko; Seta; Materials science; Adhesive; Composite material; Structural engineering; Geology; Engineering","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":[0.0001588381,0.0006110366,0.0005131055,0.0004729795,0.0003372054,0.0005293841,0.0005968172,0.0006667296,0.0007628716],"category_scores_gemma":[0.0003722823,0.0003354107,0.0003975362,0.0002316127,0.0006387378,0.000804943,0.0003930398,0.0006575063,0.0002051778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004908462,"about_ca_system_score_gemma":0.0003607639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001504542,"about_ca_topic_score_gemma":0.001022808,"domain_scores_codex":[0.9998872,0.00001369378,0.000003618625,0.00001813664,0.00005473069,0.00002263285],"domain_scores_gemma":[0.9999121,0.00003367211,0.00001866602,0.0000121041,0.00001144533,0.00001190427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005915693,0.000055172,0.0008541649,0.0002687508,0.00003997155,0.000642875,0.0002563486,0.6848309,0.2105918,0.08871221,0.0009104903,0.0127782],"study_design_scores_gemma":[0.000005456997,0.00004594825,0.0002971658,0.00001319782,0.000006297009,0.0001066982,0.00002288136,0.9842078,0.007981226,0.005738692,0.001558693,0.00001595744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4516833,0.003790678,0.5161648,0.0006561238,0.0001967924,0.0001226868,0.0002294722,0.0006330691,0.02652302],"genre_scores_gemma":[0.9445264,0.001731998,0.04826694,0.000147917,0.00003965846,0.0001511979,0.0001104027,0.0000902448,0.004935326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001504542,"threshold_uncertainty_score":0.003561318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625867874651531,"score_gpt":0.2484324208363962,"score_spread":0.2321737420898808,"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."}}