{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003295832,0.001123926,0.00089634,0.0003325662,0.0004189882,0.0005718904,0.001705228,0.001406843,0.01070817],"category_scores_gemma":[0.0006193795,0.0005068881,0.0005701464,0.0003518115,0.0004771493,0.000950188,0.001888587,0.0008768339,0.002503318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002006434,"about_ca_system_score_gemma":0.0005029716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009119914,"about_ca_topic_score_gemma":0.00143517,"domain_scores_codex":[0.9996872,0.00003384325,0.00001344089,0.00009046557,0.0001406988,0.00003428293],"domain_scores_gemma":[0.9997541,0.00007588005,0.00002288668,0.0000756285,0.00003875171,0.0000327976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006626454,0.0001496436,0.0002104021,0.0004530282,0.00004882107,0.0005448636,0.0002014456,0.05136763,0.3868312,0.009304426,0.01385885,0.5363671],"study_design_scores_gemma":[0.0001303379,0.0004307635,0.0006360062,0.00003359759,0.00002551819,0.0007996888,0.00004929665,0.8821062,0.0903481,0.007128704,0.01825573,0.00005614322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009203419,0.0001058244,0.9815882,0.00004503936,0.00005284394,0.0001138733,0.000138733,0.005597486,0.003154522],"genre_scores_gemma":[0.217871,0.0001506559,0.769653,0.0001110022,0.0000530344,0.0002357706,0.0006458858,0.001545192,0.00973446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01070817,"threshold_uncertainty_score":0.03582233,"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."}}