{"id":"W4411193022","doi":"10.1002/adma.202502293","title":"Origami Crawlers: Exploring A Single Origami Vertex for Complex Path Navigation","year":2025,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Army Research Office; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Morphing; Crawling; Vertex (graph theory); Computer science; Robotics; Path (computing); Folding (DSP implementation); Robot; Artificial intelligence; Topology (electrical circuits); Mechanical engineering; Engineering; Theoretical computer science; Graph","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":[0.0001115886,0.0003191774,0.0002495861,0.0001483945,0.0003208717,0.0006552463,0.0003963641,0.0004947973,0.001419424],"category_scores_gemma":[0.0002399194,0.0002175566,0.0002026777,0.0001423993,0.0004367551,0.00078442,0.0004618704,0.0004872167,0.0005366461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001963762,"about_ca_system_score_gemma":0.0002470262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001766737,"about_ca_topic_score_gemma":0.0004069911,"domain_scores_codex":[0.9999554,0.000008660028,0.000002335893,0.00001009386,0.00001406168,0.000009340935],"domain_scores_gemma":[0.9999267,0.00002591811,0.00001101058,0.00001508643,0.000007533339,0.00001387923],"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":[0.00007303421,0.00006947818,0.0004524309,0.0002317815,0.00002087005,0.000422659,0.000323291,0.03198097,0.8579444,0.05856784,0.0008846151,0.04902861],"study_design_scores_gemma":[0.00005790323,0.0005425995,0.0009350063,0.0001093672,0.00003967947,0.000718403,0.0002998652,0.4677227,0.4398599,0.04028744,0.04934194,0.00008527481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5314461,0.002415471,0.4368647,0.0005159041,0.0001887876,0.0001413998,0.0001062886,0.001079547,0.02724172],"genre_scores_gemma":[0.8439208,0.001313262,0.1506244,0.0001193874,0.00001870602,0.00008663047,0.00008552294,0.00008183522,0.003749432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001419424,"threshold_uncertainty_score":0.004748464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0438258972292181,"score_gpt":0.2651176777564727,"score_spread":0.2212917805272546,"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."}}