{"id":"W4386256222","doi":"10.24908/iqurcp16723","title":"Origami, Shape Memory Alloys, and Geckos? Designing and Manufacturing an Underactuated Self-Reconfigurable Cube Robot","year":2023,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Actuator; Robot; Modular design; Hinge; Cube (algebra); Shape-memory alloy; SMA*; Robotics; Computer science; Morphing; Engineering; Artificial intelligence; Mechanical engineering; Geometry; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001953862,0.0004840616,0.0004833558,0.0007472202,0.0006127328,0.001155321,0.0005161643,0.0002732041,0.0001004447],"category_scores_gemma":[0.0001384962,0.0004790158,0.00004698069,0.0006491113,0.000401387,0.001416779,0.0002234724,0.001101497,0.0001842946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001764878,"about_ca_system_score_gemma":0.0001319567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002681164,"about_ca_topic_score_gemma":0.00002912518,"domain_scores_codex":[0.9961866,0.00009225183,0.0005146009,0.0009362255,0.0008586618,0.001411624],"domain_scores_gemma":[0.9982713,0.0002932586,0.00007054631,0.0002771422,0.0004689142,0.0006187888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000371829,0.0004440416,0.005584978,0.007190008,0.001767449,0.0006992298,0.06495977,0.01707475,0.384149,0.05517649,0.02117109,0.4414113],"study_design_scores_gemma":[0.001033919,0.0006016329,0.003234881,0.0007822997,0.00006845344,0.0001626741,0.01241531,0.7280567,0.1975203,0.05101839,0.003229257,0.00187617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869895,0.0002694014,0.004205936,0.002232411,0.0002506775,0.0008608499,0.000005724145,0.001913125,0.003272373],"genre_scores_gemma":[0.9918933,0.005618674,0.001458243,0.00004448722,0.0001752436,0.0001162682,0.00002897916,0.0001236336,0.0005411701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.710982,"threshold_uncertainty_score":0.9998816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0926874586415637,"score_gpt":0.3299842475604002,"score_spread":0.2372967889188365,"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."}}