{"id":"W4206973294","doi":"10.1002/mame.202100868","title":"Multilayer Graphene/PDMS Composite Gradient Materials for High‐Efficiency Photoresponse Actuators","year":2022,"lang":"en","type":"article","venue":"Macromolecular Materials and Engineering","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Materials science; Actuator; Graphene; Polydimethylsiloxane; Deflection (physics); Composite number; Stretchable electronics; Composite material; Stacking; Soft robotics; Unimorph; Cantilever; Nanotechnology; Electronics; Computer science; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047373,0.0003737121,0.0004604018,0.0001609407,0.000239414,0.0001389515,0.0001994084,0.00007302526,0.0002345206],"category_scores_gemma":[0.00002658559,0.000403035,0.00006186603,0.0001328707,0.00001745386,0.00008980597,0.0001685771,0.00007806249,0.000003722538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001085421,"about_ca_system_score_gemma":0.00001128033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000022902,"about_ca_topic_score_gemma":5.687346e-7,"domain_scores_codex":[0.9983781,0.00004226248,0.0004293612,0.0003531397,0.0002337903,0.0005633461],"domain_scores_gemma":[0.9994629,0.00003867042,0.00006175974,0.0002712352,0.0000348406,0.0001306048],"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":[0.00009690775,0.00002452402,3.789945e-7,0.0002450692,0.00004618817,0.00003184403,0.0001392831,0.01753236,0.9792534,0.002337249,0.00005056843,0.000242249],"study_design_scores_gemma":[0.0007460527,0.0001291533,0.00004214766,0.00002675954,0.00004076764,0.00006027441,0.00003284184,0.002918868,0.9900901,0.0003822409,0.005030033,0.0005007614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415474,0.0002485459,0.05338287,0.00001272362,0.003098464,0.0005882313,0.0007141891,0.0004011696,0.000006413779],"genre_scores_gemma":[0.9933291,0.00008867151,0.005582573,0.0000493885,0.0001138638,0.0005520057,0.0001195244,0.0001511118,0.0000137519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05178171,"threshold_uncertainty_score":0.9998422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004505238952554786,"score_gpt":0.1863154954820216,"score_spread":0.1818102565294668,"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."}}