{"id":"W2079163206","doi":"10.1115/detc2003/vib-48500","title":"Three Fingered Flexible Fixture Design","year":2003,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Fixture; GRASP; Flexibility (engineering); Mechanism (biology); Actuator; Linkage (software); Process (computing); Grippers; Computer science; Control reconfiguration; Engineering; Clamping; Wrench; Software; Mechanical engineering; Control engineering; Artificial intelligence; Embedded system","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":[0.0002979903,0.0007903749,0.000466786,0.000692373,0.0002602901,0.0007184449,0.001808865,0.001353656,0.003989293],"category_scores_gemma":[0.000452269,0.0003287688,0.0006425887,0.0004134678,0.0005102093,0.0006560882,0.0006948754,0.0005388532,0.001140116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003392829,"about_ca_system_score_gemma":0.000257455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004521105,"about_ca_topic_score_gemma":0.0003396115,"domain_scores_codex":[0.9996119,0.00004559348,0.00002643133,0.0001061822,0.0001653774,0.00004446559],"domain_scores_gemma":[0.9997002,0.00005458166,0.00005803714,0.00008120337,0.00007677944,0.00002930646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003097901,0.00007441809,0.0009929927,0.0007163002,0.0001786452,0.001268739,0.0002271622,0.1540248,0.3737801,0.0545032,0.004444411,0.4094793],"study_design_scores_gemma":[0.0002104028,0.001859774,0.002752638,0.000162847,0.0001876275,0.006125651,0.00008569977,0.5646316,0.2433719,0.02046563,0.1597454,0.0004009651],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01356874,0.0005230408,0.9799514,0.00006735582,0.00008440605,0.00006364489,0.00008073029,0.0007472705,0.004913256],"genre_scores_gemma":[0.4095958,0.0006861753,0.5756037,0.0001606926,0.0000436548,0.0003533186,0.0002101122,0.0001007658,0.01324587],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003989293,"threshold_uncertainty_score":0.01334548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04613196724113107,"score_gpt":0.223516659887384,"score_spread":0.1773846926462529,"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."}}