{"id":"W2930000399","doi":"10.31438/trf.hh2010.82","title":"A LARGE-SCALE FLEXIBLE MOLDING TECHNOLOGY FOR PRODUCING BIOMIMETIC DRY ADHESIVES IN MULTIPLE MATERIALS USING A COMMERICAL ACRYLIC MASTER","year":2010,"lang":"en","type":"article","venue":"2010 Solid-State, Actuators, and Microsystems Workshop Technical Digest","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Adhesive; Materials science; Molding (decorative); Mold; Composite material; Acrylic polymer; Fabrication; Acrylic resin; Polymer; van der Waals force; Coating; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000229189,0.0006039254,0.0002371839,0.0003883779,0.0003181994,0.0003002237,0.0005747366,0.0003091855,0.001210678],"category_scores_gemma":[0.0002155966,0.0004657024,0.0002905312,0.0002268344,0.0003585964,0.0005017835,0.0004723883,0.000857975,0.0004311504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002230786,"about_ca_system_score_gemma":0.0002959625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002429999,"about_ca_topic_score_gemma":0.0006560923,"domain_scores_codex":[0.999788,0.00001089606,0.00001468411,0.00005652697,0.0001038319,0.00002615627],"domain_scores_gemma":[0.9998204,0.00002718497,0.00006901052,0.00004497115,0.00001198414,0.00002645367],"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":[0.000007805856,0.000009611728,0.00006520106,0.00004326382,0.000002032224,0.00006252529,0.00002503227,0.0001754638,0.9929137,0.0004913551,0.00008761763,0.006116323],"study_design_scores_gemma":[0.00001264324,0.0002138642,0.0007877973,0.000007255833,0.000007388231,0.0003814508,0.00001077268,0.001483895,0.9886147,0.0001305468,0.008331828,0.00001794952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6058685,0.00336572,0.3787101,0.0003361845,0.0002977129,0.0004565995,0.0004097105,0.001698315,0.008857219],"genre_scores_gemma":[0.6152794,0.001525796,0.3750154,0.00009102243,0.00005755207,0.0002630154,0.0002534308,0.0001609621,0.007353472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001210678,"threshold_uncertainty_score":0.004050136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938495191191085,"score_gpt":0.2699083247080626,"score_spread":0.2505233727961517,"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."}}