{"id":"W4321020373","doi":"10.1109/sii55687.2023.10039282","title":"Soft Robotic Hand for Sushi Grasping and Handling","year":2023,"lang":"en","type":"article","venue":"2023 IEEE/SICE International Symposium on System Integration (SII)","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Palm; Soft robotics; Computer science; Artificial intelligence; Robot; Fish <Actinopterygii>; Computer vision; Engineering drawing; Engineering; Fishery","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":[0.0003010767,0.0002549998,0.000251145,0.0002481627,0.0002656656,0.0003771643,0.0002505722,0.0001306865,0.0000138545],"category_scores_gemma":[0.00005730111,0.0002510423,0.0001129635,0.0003423843,0.00003966396,0.0001946783,0.0000271735,0.0001710757,0.0002634314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002354527,"about_ca_system_score_gemma":0.00002137074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000425079,"about_ca_topic_score_gemma":0.00008039728,"domain_scores_codex":[0.9984984,0.00002116504,0.0004882751,0.0003752158,0.0003319743,0.0002849161],"domain_scores_gemma":[0.9989382,0.00039059,0.0001007617,0.0002231135,0.000244029,0.0001033035],"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":[0.00004591846,0.00005491577,0.0004964474,0.0003943906,0.0003317085,0.000008947233,0.0009031242,0.806452,0.1159966,0.05678451,0.01483119,0.003700233],"study_design_scores_gemma":[0.0005947912,0.00006488436,0.0006043929,0.000493201,0.00004941095,0.00001684101,0.0009648819,0.9767079,0.01330919,0.0003171751,0.006504941,0.000372325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1031005,0.0001703592,0.8725859,0.003012539,0.008509542,0.001633478,0.0001687207,0.001808047,0.009010891],"genre_scores_gemma":[0.9962074,0.0000583959,0.0006005577,0.00007427988,0.0006992405,0.0005090992,0.0002494291,0.00007006018,0.001531521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8931069,"threshold_uncertainty_score":0.9999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020472284667983,"score_gpt":0.2585154094670066,"score_spread":0.2383106866203267,"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."}}