{"id":"W1800329374","doi":"10.1139/z07-103","title":"Real-world challenges to, and capabilities of, the gekkotan adhesive system: contrasting the rough and the smooth","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Gecko; Adhesive; Biology; Adaptive value; Adaptation (eye); Adhesion; Morphology (biology); Ecology; Paleontology; Materials science; Nanotechnology; Layer (electronics); Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0006457881,0.00008428004,0.0001938919,0.0001004817,0.0002346643,0.00001789289,0.0001364465,0.00004546065,0.000009735577],"category_scores_gemma":[0.0001866107,0.00004421815,0.00004824885,0.00009178402,0.0002605019,0.0000575859,0.000007792174,0.000230387,5.74847e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104035,"about_ca_system_score_gemma":0.0001072932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008328584,"about_ca_topic_score_gemma":0.3324647,"domain_scores_codex":[0.9992753,0.0001028507,0.0003029206,0.0000591927,0.00006194192,0.0001978192],"domain_scores_gemma":[0.9986446,0.0008736693,0.00009926015,0.0001234949,0.0001160484,0.0001429385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005081116,0.00003358276,0.3698168,0.000954784,0.001823659,0.0003063917,0.2552092,0.02135602,0.002427033,0.300185,0.009740911,0.0376385],"study_design_scores_gemma":[0.0008318416,0.0001205035,0.9174742,0.0003172076,0.000172333,0.001191051,0.06419818,0.0008985208,0.0003872444,0.001930199,0.01227577,0.0002029385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853354,0.004568757,0.0001378925,0.002953581,0.0009742501,0.0001363246,0.000006515248,0.000007468338,0.00587979],"genre_scores_gemma":[0.9992903,0.0003103276,0.00004849076,0.00005521292,0.0001446036,0.00000182893,6.79625e-8,0.0000100102,0.000139148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5476575,"threshold_uncertainty_score":0.998275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128548435628371,"score_gpt":0.2097271248846515,"score_spread":0.1984416405283678,"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."}}