{"id":"W2014113893","doi":"10.1088/0960-1317/17/5/024","title":"Development of a long-range untethered frictional microcrawler","year":2007,"lang":"en","type":"article","venue":"Journal of Micromechanics and Microengineering","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Stiction; Climb; Crawling; Actuator; Range (aeronautics); Robot; Mechanics; Static friction; Voltage; Mechanical engineering; Engineering; Simulation; Electrical engineering; Materials science; Physics; Computer science; Aerospace engineering; Nanotechnology; Microelectromechanical systems; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000359131,0.0001510742,0.0002703705,0.0002090537,0.00003390501,0.00001462356,0.00009505247,0.00006792093,0.0000142165],"category_scores_gemma":[0.00001385024,0.0001460604,0.0000578057,0.0001083035,0.000008207649,0.00009306934,0.00002359309,0.0001361747,0.000001249001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005707323,"about_ca_system_score_gemma":0.00001608782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.587465e-7,"about_ca_topic_score_gemma":0.000003967451,"domain_scores_codex":[0.9989979,0.000004017478,0.0005962825,0.00007357707,0.0001041786,0.0002241021],"domain_scores_gemma":[0.9995904,0.00003305443,0.00012672,0.00006649432,0.00009372733,0.0000895815],"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":[0.00001804436,0.00001402335,0.0000236919,0.0001192604,0.00007020688,0.00002421772,0.0003418261,0.003432499,0.990846,0.00007848337,0.00002785754,0.005003869],"study_design_scores_gemma":[0.0004998876,0.00003272134,0.0007851959,0.0002208851,0.00002214438,0.0005279884,0.0001242144,0.0005159645,0.9910228,0.00004494633,0.00600948,0.0001937824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7701671,0.001347844,0.2279365,0.000002987676,0.000450354,0.0000268792,0.000003372552,0.00002603915,0.00003896726],"genre_scores_gemma":[0.9181675,0.0002524907,0.08139717,0.000007370728,0.0001064785,4.248788e-7,0.000001523357,0.00003787033,0.00002912961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1480005,"threshold_uncertainty_score":0.5956171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009233995678300152,"score_gpt":0.2039961240354259,"score_spread":0.1947621283571258,"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."}}