{"id":"W1978540956","doi":"10.1109/tbme.2010.2066274","title":"Analysis of Wormlike Robotic Locomotion on Compliant Surfaces","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Crawling; Robot; Flexibility (engineering); Robot locomotion; Computer science; Function (biology); Biological materials; Control engineering; Simulation; Engineering; Human–computer interaction; Mechanical engineering; Artificial intelligence; Mobile robot; Robot control; Biochemical engineering; Biology; Mathematics; Anatomy","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":[0.00008839388,0.0001361767,0.0002575668,0.0003918867,0.00005161336,0.00001235914,0.00011489,0.00006775762,0.0006238872],"category_scores_gemma":[0.000001295684,0.0001228468,0.0001933385,0.0007648377,0.00005067853,0.0000373008,8.740083e-7,0.0003386973,0.00002704884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000134004,"about_ca_system_score_gemma":0.0000174107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005079978,"about_ca_topic_score_gemma":0.000006651606,"domain_scores_codex":[0.9992033,0.000008680754,0.0002405849,0.0001669229,0.0001938616,0.000186675],"domain_scores_gemma":[0.999505,0.00009160281,0.0000450236,0.0002075324,0.00002680204,0.0001239794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009025437,0.0004327442,0.0001163307,0.00001412498,0.0005454137,9.307162e-7,0.00005625355,0.8962037,0.09215141,0.0004563007,0.00002944514,0.009984326],"study_design_scores_gemma":[0.0005596949,0.0001509753,0.002886364,0.00006130087,0.0006812784,8.634836e-7,0.00003421219,0.9265118,0.0678499,0.00002494611,0.0009301557,0.0003084737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1995126,0.000002632492,0.7995757,0.00007015481,0.0006045563,0.00006434725,0.00004136763,0.00003751231,0.00009112356],"genre_scores_gemma":[0.9980705,0.000002521209,0.001746936,0.000009759699,0.00005423126,0.000005598918,0.00002034863,0.00001343579,0.00007670291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7985579,"threshold_uncertainty_score":0.6831127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008204418427624227,"score_gpt":0.2242265212732301,"score_spread":0.2160221028456059,"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."}}