{"id":"W6944546730","doi":"10.18910/84885","title":"Development of a sensorized snake robot to study limbless locomotion in complex 3-D terrain","year":2021,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Johns Hopkins University","keywords":"Robot; Terrain; Motion (physics); Mobile robot; Development (topology); Motion control","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001562071,0.0001521495,0.0002179394,0.0001038132,0.000160778,0.00004127212,0.0001408492,0.0000403979,0.00002436932],"category_scores_gemma":[0.00008027719,0.0001685211,0.00003255754,0.0005277932,0.00003642757,0.0001282441,0.0001246503,0.0001157188,0.00001690448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001895404,"about_ca_system_score_gemma":0.0001890949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000621964,"about_ca_topic_score_gemma":0.0006650081,"domain_scores_codex":[0.9986961,0.00002828414,0.000512149,0.0002637946,0.0003182958,0.0001813585],"domain_scores_gemma":[0.9992949,0.00005182415,0.0000418915,0.0003651358,0.0001541897,0.00009201576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006682553,0.002275202,0.01275484,0.0002605807,0.0002848104,0.0003657145,0.00635183,0.260349,0.6819109,0.03007534,0.0007472483,0.004557704],"study_design_scores_gemma":[0.005019889,0.000142444,0.4853142,0.0007584355,0.0001295912,0.000292436,0.006603364,0.02237578,0.3709511,0.0002832365,0.1063294,0.001800106],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8943722,0.00004639348,0.1035776,0.00009365692,0.0004151662,0.0004257218,0.0001108073,0.0001057304,0.0008526799],"genre_scores_gemma":[0.9064096,0.000003680019,0.0927764,0.00001826546,0.0001075714,0.0001194162,0.0005258892,0.00001369457,0.00002542934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4725594,"threshold_uncertainty_score":0.6872091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03885148599716966,"score_gpt":0.2832804595779785,"score_spread":0.2444289735808088,"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."}}