{"id":"W2899093764","doi":"10.1115/detc2018-85226","title":"Deformation Analysis of a Compliant Underactuated Finger Grasping a Soft Object","year":2018,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Underactuation; Computer science; Object (grammar); Deformation (meteorology); Range (aeronautics); Finite element method; Rigid body; Simple (philosophy); Computer vision; Artificial intelligence; Structural engineering; Engineering; Physics; Robot; Classical mechanics","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":[0.0002986105,0.0002793547,0.0003578833,0.000396468,0.0002742005,0.000565294,0.0005807605,0.001054611,0.001334804],"category_scores_gemma":[0.0006597526,0.0001701063,0.0004558761,0.0002892582,0.0008725526,0.0005005663,0.0004784861,0.0003052305,0.0001983763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003844139,"about_ca_system_score_gemma":0.0004025416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001850703,"about_ca_topic_score_gemma":0.0007393901,"domain_scores_codex":[0.9998583,0.00002157298,0.00001032482,0.00002590867,0.00006399353,0.00001980483],"domain_scores_gemma":[0.9997783,0.00008348378,0.00004778578,0.0000451733,0.00002282198,0.00002247795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008023981,0.00003214244,0.0009733262,0.00004403774,0.0000157068,0.0004501426,0.0001109828,0.9542921,0.03102447,0.006607404,0.0001218671,0.00624765],"study_design_scores_gemma":[0.000002839052,0.00003574077,0.0005726373,0.000003719627,0.000002879875,0.00005411068,0.00002008605,0.9962013,0.001992492,0.0009100499,0.0001965148,0.000007587778],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6922031,0.0003391927,0.2941357,0.0002925892,0.00005106136,0.00007262517,0.0001307651,0.0003281151,0.0124468],"genre_scores_gemma":[0.9911723,0.0001081304,0.006748025,0.00002152364,0.000004281269,0.00001722484,0.00003115805,0.00001963471,0.00187792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001850703,"threshold_uncertainty_score":0.004465401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02939244645121678,"score_gpt":0.2586325870157702,"score_spread":0.2292401405645534,"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."}}