{"id":"W4288026092","doi":"10.48550/arxiv.1911.05225","title":"Optimal load sharing in bioinspired fibrillar adhesives: Asymptotic\\n solution","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Adhesive; Materials science; Fibril; Load distribution; Sensitivity (control systems); Load sharing; Load bearing; Mechanics; Composite material; Biological system; Computer science; Structural engineering; Physics; Biophysics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001410818,0.0003922739,0.0004039028,0.0003953937,0.0001128849,0.00006495342,0.0004392024,0.000469105,0.0001176603],"category_scores_gemma":[0.00003553694,0.0005161651,0.0002476922,0.0004219079,0.00004930732,0.0004028881,0.0003439395,0.0006617539,0.0004099093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194952,"about_ca_system_score_gemma":0.0001365569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004330183,"about_ca_topic_score_gemma":0.0002804252,"domain_scores_codex":[0.9983491,0.00004580931,0.0003092378,0.0007537213,0.0001038526,0.0004382516],"domain_scores_gemma":[0.9988658,0.00007867263,0.0001069859,0.0006984771,0.0001251,0.0001249592],"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":[0.00002853356,0.00003227629,0.0247499,0.0001438295,0.00008460951,0.00005444738,0.0003282742,0.9730362,0.0005407685,0.0005475207,0.000418735,0.00003496492],"study_design_scores_gemma":[0.0004752933,0.00003494087,0.009674568,0.0003307734,0.00007926142,0.000006199041,0.0003793563,0.985586,0.0005968095,0.0004642207,0.00174702,0.0006255349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474017,0.000230447,0.04278906,0.00001705305,0.001623411,0.000342926,0.00003382961,0.00050494,0.007056627],"genre_scores_gemma":[0.9964901,0.0008851007,0.0003426206,0.000008798876,0.0001097287,0.00000142435,0.00004461088,0.00006074577,0.002056863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0490884,"threshold_uncertainty_score":0.999729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0441357888145956,"score_gpt":0.1829961807767564,"score_spread":0.1388603919621608,"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."}}