{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005402716,0.0002727045,0.00009809322,0.0001512154,0.0001016626,0.0001838571,0.0002779347,0.000304058,0.0004630524],"category_scores_gemma":[0.0001519449,0.0001086157,0.0001445887,0.00009277734,0.0001696922,0.0002098811,0.0001918143,0.000288332,0.0002226582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310126,"about_ca_system_score_gemma":0.00007550517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002790529,"about_ca_topic_score_gemma":0.0007773826,"domain_scores_codex":[0.9999335,0.000005233907,0.000004818106,0.00001417863,0.00002710468,0.00001530733],"domain_scores_gemma":[0.9999419,0.000009081043,0.00001955181,0.00001023541,0.000008797695,0.00001032325],"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":[0.000007684912,0.000005025423,0.00003339488,0.00001526719,0.000001731469,0.00005083272,0.000010961,0.0002101058,0.9968705,0.0002405003,0.00005756505,0.002496377],"study_design_scores_gemma":[0.000006334057,0.00008372243,0.0005279562,0.000003335618,0.000007188771,0.0001267547,0.00001624846,0.004913669,0.9893442,0.0001708995,0.004788177,0.00001144205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315205,0.00152225,0.05757716,0.0002692234,0.0003433082,0.0000793069,0.00040448,0.00070834,0.007575399],"genre_scores_gemma":[0.9701986,0.0004764857,0.02626484,0.0001231932,0.00002473092,0.00003414325,0.000213445,0.0000264016,0.002638173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004630524,"threshold_uncertainty_score":0.001549006,"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."}}