{"id":"W2901764688","doi":"10.1039/c8mh01421c","title":"Algae–mussel-inspired hydrogel composite glue for underwater bonding","year":2018,"lang":"en","type":"article","venue":"Materials Horizons","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mussel; Underwater; Adhesive; GLUE; Composite number; Materials science; Nanotechnology; Polymer; Composite material; Fishery; Biology; Oceanography; Geology","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004872564,0.0003297463,0.0005040394,0.0001269702,0.0006402219,0.0003606813,0.000378032,0.000116622,0.001500813],"category_scores_gemma":[0.00008582371,0.0002896306,0.0001003616,0.0001326671,0.0002955436,0.0003857125,0.0002426705,0.00005220829,0.002347649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001029206,"about_ca_system_score_gemma":0.00003959141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002158389,"about_ca_topic_score_gemma":0.00006142994,"domain_scores_codex":[0.9977837,0.00009290913,0.0005784712,0.000570929,0.0002601287,0.0007138324],"domain_scores_gemma":[0.9988009,0.0002136507,0.0002319791,0.0004584549,0.000168302,0.0001266885],"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":[0.0001706106,0.00005038852,0.00007383459,0.00003188516,0.00004176189,0.000003658786,0.0004389031,0.000001023667,0.990943,0.001289468,0.006818554,0.0001369173],"study_design_scores_gemma":[0.0004174499,0.0002677684,0.0001565017,0.00005435865,0.00005272964,0.00002071028,0.0001179762,0.00001740853,0.9570323,0.0009072161,0.04061087,0.0003447086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871173,0.00007239039,0.002737368,0.0009473876,0.006228791,0.0004826333,0.0004284941,0.0004131515,0.001572501],"genre_scores_gemma":[0.9921324,0.000005433159,0.004516643,0.0003982099,0.001023995,0.0001762127,0.00003309532,0.00006725816,0.001646792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03391069,"threshold_uncertainty_score":0.9999556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02680637917769466,"score_gpt":0.2920346192883549,"score_spread":0.2652282401106603,"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."}}