{"id":"W2013068785","doi":"10.2316/journal.206.2010.2.206-3359","title":"A MULTI-OBJECTIVE GA BASED ALGORITHM FOR 2D FORM AND FORCE CLOSURE GRASP OF PRISMATIC OBJECTS","year":2010,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"GRASP; Closure (psychology); Boundary (topology); Algorithm; Object (grammar); Computer science; Mathematics; Geometry; Artificial intelligence; Mathematical analysis; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068915,0.001063069,0.0009747081,0.0008106754,0.000506583,0.0006079896,0.001362967,0.001559303,0.00180653],"category_scores_gemma":[0.001141491,0.0006251053,0.0009167979,0.0005488009,0.0006361955,0.0004753028,0.0008342795,0.0008923431,0.0002630537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146902,"about_ca_system_score_gemma":0.001843264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01002686,"about_ca_topic_score_gemma":0.009637315,"domain_scores_codex":[0.9997192,0.00006294058,0.00001217065,0.0000640334,0.00009537138,0.00004633871],"domain_scores_gemma":[0.9996905,0.0001536542,0.00004186386,0.0000202279,0.00007267507,0.00002113008],"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":[0.00003057696,0.00003531954,0.0002369609,0.00003372838,0.00002533966,0.00003984687,0.00003336387,0.9544941,0.002742908,0.002848495,0.0005127633,0.03896654],"study_design_scores_gemma":[0.00001002218,0.00001917305,0.0000494101,0.000003792172,0.000004371178,0.000008483558,0.000003372477,0.998903,0.0003497596,0.0004437411,0.0002012462,0.00000356453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0213681,0.0001362189,0.9754716,0.0001042868,0.00003862565,0.00007846914,0.00003709717,0.0006026048,0.002162966],"genre_scores_gemma":[0.2884455,0.0001198936,0.7078347,0.0001397592,0.00002039824,0.0004775014,0.0001384051,0.0001162704,0.002707599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01002686,"threshold_uncertainty_score":0.01993704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006565564977742109,"score_gpt":0.2315940701820549,"score_spread":0.2250285052043128,"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."}}