{"id":"W4400992218","doi":"10.23977/jaip.2024.070302","title":"Design of Key Technologies for Robot End Effectors","year":2024,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Robot end effector; Computer science; Robot; Human–computer interaction; Artificial intelligence; Computer security","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":[0.0008564485,0.0009247763,0.0004658046,0.0006916539,0.0003809449,0.0008608289,0.001158903,0.001088904,0.001725958],"category_scores_gemma":[0.000988751,0.0004686771,0.0005067678,0.0002718512,0.0005278101,0.001326457,0.0008372835,0.0007909799,0.001249922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003937734,"about_ca_system_score_gemma":0.0006176122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009952671,"about_ca_topic_score_gemma":0.0001261879,"domain_scores_codex":[0.9993749,0.00008085661,0.00006449741,0.0001195689,0.0002946286,0.00006559912],"domain_scores_gemma":[0.9995437,0.00008210447,0.0001085689,0.00006074721,0.0001792496,0.00002557891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002241508,0.0001121067,0.001113359,0.001539866,0.00004514004,0.0004540026,0.0003344756,0.04655764,0.6690023,0.06753243,0.001629859,0.2114547],"study_design_scores_gemma":[0.0001258488,0.003196155,0.003217465,0.0003213333,0.0001272612,0.001720633,0.0002198975,0.2578883,0.6123842,0.01826874,0.1023923,0.0001380293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01342016,0.000707563,0.9812449,0.00007740832,0.000102573,0.000246783,0.00003928059,0.0003368483,0.003824489],"genre_scores_gemma":[0.2828016,0.001069245,0.7094291,0.0001249994,0.00003949817,0.0007381137,0.0001456356,0.00007950018,0.005572348],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001725958,"threshold_uncertainty_score":0.005773962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05588464101422634,"score_gpt":0.3131073649896139,"score_spread":0.2572227239753876,"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."}}