{"id":"W2059722453","doi":"10.1126/science.1146351","title":"Mobile Robots: Motor Challenges and Materials Solutions","year":2007,"lang":"en","type":"review","venue":"Science","topic":"Dielectric materials and actuators","field":"Engineering","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Robot; Artificial muscle; Actuator; Jump; Task (project management); Computer science; Mobile robot; Dimension (graph theory); Power (physics); Artificial intelligence; Control engineering; Automotive engineering; Simulation; Engineering; Systems engineering; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0006603791,0.0001997301,0.0005268549,0.0002143886,0.00008147518,0.0001111425,0.0002945273,0.0001030926,0.00005260291],"category_scores_gemma":[0.00002995005,0.0001572264,0.00004012431,0.0002431352,0.0001595462,0.000140045,0.00008343491,0.00006985752,0.00006372132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006352508,"about_ca_system_score_gemma":0.00006825003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001654893,"about_ca_topic_score_gemma":6.996548e-7,"domain_scores_codex":[0.998897,0.00001277429,0.0002525263,0.0002592173,0.0001653782,0.0004131148],"domain_scores_gemma":[0.999593,0.00003148415,0.00004647051,0.0002123964,0.00001924873,0.00009743815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[1.00928e-7,0.000003479462,1.10278e-9,0.002874696,0.000005265059,0.000001580728,0.00003969129,0.000001505675,0.0002641759,0.0004352221,0.00002925293,0.996345],"study_design_scores_gemma":[0.00001564817,0.00002350797,0.000001132339,0.001004411,0.00002979802,0.00001550627,0.000007017111,0.000008724513,0.0002182203,0.00006787917,0.9984124,0.0001957049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003083582,0.9965017,0.00008428608,8.67579e-7,0.0009725691,0.0002909917,0.00002588518,0.0001341154,0.00195877],"genre_scores_gemma":[0.0001171307,0.9992453,0.0003137558,0.0000027196,0.0001466423,0.0000709334,0.00000279519,0.00002230848,0.0000784247],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9983832,"threshold_uncertainty_score":0.6411507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06561286539901252,"score_gpt":0.3056429977674612,"score_spread":0.2400301323684487,"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."}}