{"id":"W3092978037","doi":"10.1016/j.jcis.2020.10.023","title":"Mussel-inspired adhesive and conductive hydrogel with tunable mechanical properties for wearable strain sensors","year":2020,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":124,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Self-healing hydrogels; Polycaprolactone; Dynamic mechanical analysis; Toughness; Composite material; Thermoplastic polyurethane; Adhesive; Polymer; Elastomer; Polymer 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":[],"consensus_categories":[],"category_scores_codex":[0.0002159091,0.000108304,0.0002277642,0.00004755036,0.0001082703,0.00009911919,0.0001100963,0.00002668264,0.000004606398],"category_scores_gemma":[0.000220601,0.00007435663,0.00001853837,0.0001417686,0.0002203948,0.0005566484,0.00002315704,0.00009150661,4.965837e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002526025,"about_ca_system_score_gemma":0.00005429612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002521198,"about_ca_topic_score_gemma":0.000001258493,"domain_scores_codex":[0.9993075,0.000009626725,0.0002051131,0.0001356725,0.0001503035,0.0001918048],"domain_scores_gemma":[0.999514,0.00004144095,0.00008017904,0.00004420548,0.0001533457,0.000166791],"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":[0.0001397901,0.000004658838,0.000003274175,0.00004719568,0.00001446158,0.000001376788,0.0007174559,0.03733902,0.9615156,0.00009701891,0.00003332441,0.00008679479],"study_design_scores_gemma":[0.0004931004,0.0008569893,0.00001638229,0.0001381877,0.00001553657,0.0000935695,0.001537326,0.02676895,0.9691865,0.0001629199,0.0006116673,0.0001188281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956536,0.0003109915,0.003436622,0.0002036716,0.0001189598,0.000107072,0.000007168229,0.00002512534,0.000136771],"genre_scores_gemma":[0.99418,0.00006624407,0.005561677,0.00005822913,0.00004751145,0.000002392557,5.90705e-8,0.00001183733,0.00007204241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01057008,"threshold_uncertainty_score":0.3032175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472721745451237,"score_gpt":0.2303334428816128,"score_spread":0.2056062254271004,"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."}}