{"id":"W4415691183","doi":"10.1002/advs.202514597","title":"Multifunctional and Reprogrammable Magnetoactive Graphene Oxide Origami","year":2025,"lang":"en","type":"article","venue":"Advanced Science","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Canada Foundation for Innovation","keywords":"Graphene; Fabrication; Oxide; Soft robotics; Magnetic nanoparticles; Bilayer; Soft materials; Magnetization","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":[0.000143926,0.00009627279,0.00009943519,0.00009414843,0.0001585956,0.00003926559,0.0001151271,0.00002426393,0.000008414839],"category_scores_gemma":[0.00006068164,0.00009239894,0.00001437584,0.0005132342,0.000149797,0.0004399876,0.00005258102,0.00006454973,0.00000394979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005211161,"about_ca_system_score_gemma":0.00003182849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005372044,"about_ca_topic_score_gemma":0.000007442361,"domain_scores_codex":[0.9992377,0.000003396787,0.0001126533,0.0002705257,0.0001182816,0.0002574503],"domain_scores_gemma":[0.9996526,0.00002589891,0.00001707294,0.000181566,0.00006053663,0.00006234561],"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":[0.00001337284,0.00000841412,0.00003076094,0.00002365036,0.000004380907,0.000001866924,0.00002313125,0.01965464,0.8941137,0.03471535,0.00001591549,0.05139477],"study_design_scores_gemma":[0.0008129621,0.00006835525,0.002627456,0.00007473157,0.00001578969,0.0000111822,0.0002347333,0.0370029,0.8612491,0.05507653,0.04244055,0.0003857408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8031253,0.0007381362,0.1885801,0.00004773014,0.001473103,0.0002410883,0.000007603774,0.0004115345,0.005375419],"genre_scores_gemma":[0.9419789,0.0002224253,0.05725536,0.00007505806,0.00001342454,0.00003582185,0.000001272462,0.00000843918,0.0004092603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1388537,"threshold_uncertainty_score":0.3767919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004170237923642958,"score_gpt":0.2264812387985688,"score_spread":0.2223110008749258,"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."}}