{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001914732,0.000284907,0.0004473796,0.00008254271,0.0001201951,0.00009115707,0.0001724284,0.00009443143,0.00006435766],"category_scores_gemma":[0.00008988244,0.0002979286,0.00005990555,0.0001578355,0.00001805254,0.0005058067,0.00005082783,0.00004948845,0.00002615693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002177911,"about_ca_system_score_gemma":0.00002331331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004426186,"about_ca_topic_score_gemma":0.00000267281,"domain_scores_codex":[0.9986009,0.00001998156,0.0004830172,0.0003129544,0.0001364382,0.000446736],"domain_scores_gemma":[0.9993368,0.00006899738,0.00007869404,0.0003260098,0.0001252405,0.00006423314],"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":[0.00007132009,0.00002434653,3.441281e-7,0.0004779606,0.00002786864,0.00000250096,0.00006422871,0.002847805,0.9780486,0.01119272,0.0003778807,0.006864481],"study_design_scores_gemma":[0.0009299853,0.00007541607,0.00001173044,0.0003237245,0.00002976713,0.000002108004,0.0001283049,0.0005975264,0.9205397,0.02547767,0.05157582,0.0003081862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7078931,0.0002389187,0.2789177,0.00005838217,0.009559497,0.001145963,0.0003188037,0.001160706,0.0007068969],"genre_scores_gemma":[0.9457507,0.000205566,0.05245777,0.0001020321,0.0001992719,0.0007824133,0.0002248436,0.0000923777,0.0001850028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2378576,"threshold_uncertainty_score":0.9999473,"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."}}