{"id":"W3172218869","doi":"10.1016/j.ijbiomac.2021.05.203","title":"An oriented Fe3+-regulated lignin-based hydrogel with desired softness, conductivity, stretchability, and asymmetric adhesiveness towards anti-interference pressure sensors","year":2021,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick; Institut National de la Recherche Scientifique","funders":"Scientific Research Foundation of Graduate School of Fujian Agriculture and Forestry University; National Key Research and Development Program of China","keywords":"Adhesive; Materials science; Self-healing hydrogels; Adhesion; Composite material; Nanotechnology; Chemical engineering; Polymer chemistry; Layer (electronics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007884803,0.0002160709,0.00008624548,0.00009666527,0.00007647787,0.0001414351,0.0001813942,0.0002026644,0.0005026461],"category_scores_gemma":[0.00009476522,0.0000912101,0.00009946069,0.0001048035,0.00008822573,0.0001534481,0.0001048451,0.0002010333,0.0001421687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000139944,"about_ca_system_score_gemma":0.00009601814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001842021,"about_ca_topic_score_gemma":0.0005484335,"domain_scores_codex":[0.9999437,0.000005452651,0.000004623361,0.00001610498,0.00001236364,0.00001769185],"domain_scores_gemma":[0.9999382,0.000005559931,0.00002156726,0.000004254791,0.00001052715,0.00001985858],"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":[0.00001646579,0.000008091644,0.00003388949,0.00001602031,0.000001524254,0.00002138451,0.000004363334,0.00006536295,0.9989482,0.00004069858,0.00002025012,0.0008238532],"study_design_scores_gemma":[0.000004690237,0.00005584477,0.0004375818,0.000001581742,0.000004149245,0.00004401041,0.000004299724,0.0009399719,0.9980677,0.00001100641,0.0004256304,0.000003632643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884672,0.0004452015,0.009298984,0.00009703602,0.00003656233,0.00001335348,0.0001235151,0.000119329,0.001398861],"genre_scores_gemma":[0.993673,0.0001443851,0.004804204,0.00006154551,0.000007074269,0.00001025193,0.00007881737,0.00001207088,0.001208591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005026461,"threshold_uncertainty_score":0.001681507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024344879101248,"score_gpt":0.2570592328924288,"score_spread":0.2368157841014163,"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."}}