{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000527425,0.0004898102,0.0007869533,0.0005990682,0.0004030249,0.0002172266,0.0003145268,0.0005891265,0.00003271233],"category_scores_gemma":[0.0002774583,0.0004702228,0.0001281873,0.0006251257,0.000206072,0.0004078905,0.000177112,0.0007428171,0.00001721967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451303,"about_ca_system_score_gemma":0.00005442357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001370626,"about_ca_topic_score_gemma":0.001310898,"domain_scores_codex":[0.9972426,0.00004312054,0.0009473657,0.0006764308,0.0001489988,0.0009415178],"domain_scores_gemma":[0.9985098,0.0004140741,0.0001696466,0.0005890133,0.0001162088,0.000201295],"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":[0.0000548974,0.000156626,0.01136571,0.0002144837,0.00003933464,0.000006104233,0.001007255,0.0002860007,0.9854506,0.0000328535,0.0004550465,0.0009311048],"study_design_scores_gemma":[0.002858944,0.0001740593,0.007149641,0.001258182,0.0001141622,0.0003384055,0.003205682,0.01760286,0.9452088,0.0007094415,0.01946173,0.001918052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622602,0.0003038918,0.03323035,0.0001208789,0.001906117,0.001215567,0.0001799861,0.0007588162,0.00002419737],"genre_scores_gemma":[0.9920893,0.0001409194,0.006883331,0.0000285087,0.0001923625,0.0002703478,0.00003752908,0.0001399955,0.000217695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04024175,"threshold_uncertainty_score":0.9997749,"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."}}