{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000452417,0.0009904027,0.001070032,0.001495181,0.0004609421,0.001321433,0.00125132,0.002366933,0.006511653],"category_scores_gemma":[0.0004802249,0.0005066668,0.0004579175,0.001302769,0.0007338924,0.002807907,0.000770751,0.001579359,0.005991012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007393038,"about_ca_system_score_gemma":0.0007387808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007845822,"about_ca_topic_score_gemma":0.001223208,"domain_scores_codex":[0.9997825,0.00002508303,0.00001703926,0.0000412319,0.0001114091,0.00002267472],"domain_scores_gemma":[0.999842,0.00005760157,0.00002310571,0.00001003196,0.00005212078,0.00001503501],"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":[0.00004470285,0.0001268513,0.0001078195,0.01055982,0.00005053854,0.0003106361,0.00009993956,0.001437373,0.008057392,0.03288164,0.05362445,0.8926988],"study_design_scores_gemma":[0.000006186106,0.00005039344,0.0001406118,0.001060912,0.00001377839,0.0006730942,0.00005181698,0.000179041,0.001005122,0.005651667,0.9911563,0.00001097476],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002441627,0.9917163,0.00120317,0.0006828538,0.0004033036,0.000007837114,0.0000117028,0.00002413122,0.005706546],"genre_scores_gemma":[0.00215959,0.9869211,0.001537924,0.0004809329,0.0004171582,0.0000233651,0.00003326812,0.000007577481,0.008419039],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006511653,"threshold_uncertainty_score":0.02178365,"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."}}