{"id":"W2098432093","doi":"10.1109/iros.2008.4650691","title":"Workspace of 3-D multifingered manipulation","year":2008,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Workspace; Rotation (mathematics); Computer science; Boundary (topology); Object (grammar); Position (finance); Motion (physics); Computer vision; Artificial intelligence; Mathematics; Robot; Mathematical analysis","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":[0.00054908,0.0003503108,0.0003335954,0.0005791029,0.0002458024,0.0004753611,0.0005005258,0.0005319166,0.001330355],"category_scores_gemma":[0.001597176,0.0002007096,0.0006138912,0.0002130587,0.0007078356,0.0006655235,0.0009085602,0.0004038223,0.0002746358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003874491,"about_ca_system_score_gemma":0.0004001672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005104888,"about_ca_topic_score_gemma":0.0003508088,"domain_scores_codex":[0.9997931,0.00005635647,0.0000142226,0.00002915135,0.0000947002,0.00001245595],"domain_scores_gemma":[0.9995729,0.0002227522,0.00007181521,0.00005128712,0.00005893369,0.00002219654],"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":[0.00008121601,0.00002495947,0.0005281036,0.0001349856,0.00001716536,0.0001632843,0.0001785261,0.7984663,0.02237921,0.135829,0.0004988216,0.04169844],"study_design_scores_gemma":[0.00001365571,0.0000371123,0.0001793238,0.00001916217,0.000003370081,0.0001089388,0.00001706104,0.9637702,0.004928174,0.02867971,0.002226412,0.00001692461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01282672,0.00006967677,0.9853441,0.00004752219,0.000009711603,0.00001554091,0.00002210714,0.0001208302,0.001543753],"genre_scores_gemma":[0.4922111,0.0001752954,0.5059102,0.0000483021,0.00001752798,0.0001359226,0.0001023123,0.0000746252,0.001324663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001330355,"threshold_uncertainty_score":0.00445044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03735565701487872,"score_gpt":0.2098497391686032,"score_spread":0.1724940821537244,"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."}}