{"id":"W4411100220","doi":"10.1007/978-3-031-91578-9_2","title":"RegionGrasp: A Novel Task for Contact Region Controllable Hand Grasp Generation","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"GRASP; Computer science; Task (project management); Artificial intelligence; Computer vision; Engineering; Programming language; Systems engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002357695,0.0002979773,0.0003520545,0.0004556692,0.0002278841,0.0003049858,0.000326711,0.000251027,0.000007269798],"category_scores_gemma":[0.00008299106,0.0002949306,0.00009482906,0.0001987696,0.0001074967,0.0001808852,0.00005315783,0.0003498952,0.000004825975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002142095,"about_ca_system_score_gemma":0.0001208414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001301238,"about_ca_topic_score_gemma":0.0001141434,"domain_scores_codex":[0.9986019,0.000008067731,0.0003174786,0.0005207945,0.0002442483,0.0003075133],"domain_scores_gemma":[0.9991106,0.0002192645,0.0000968945,0.0003503456,0.0001616824,0.00006123858],"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":[0.000008776494,0.000004706624,0.00001588591,0.00005831733,0.00001766477,0.000004295715,0.0001403457,0.943272,0.003267079,0.00538122,0.0004895185,0.04734019],"study_design_scores_gemma":[0.0006116684,0.00005480701,0.00003940585,0.0002452207,0.00001779835,0.00001050818,1.00802e-7,0.984046,0.0006629676,0.002859788,0.01114351,0.0003082606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00003780547,0.0005417378,0.995014,0.0002779004,0.001530527,0.0005334361,0.000001855219,0.0001375316,0.001925282],"genre_scores_gemma":[0.9293154,0.00006374477,0.06471678,0.00105579,0.001320152,0.00004647739,0.00007976279,0.00007483304,0.003327037],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9302971,"threshold_uncertainty_score":0.9999503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0297813725766048,"score_gpt":0.2368290440208997,"score_spread":0.207047671444295,"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."}}