{"id":"W4283590942","doi":"10.3390/coatings12070904","title":"Design and Analysis of a Robotic End-Effector for Automated Hi-Lok Nut Installation","year":2022,"lang":"en","type":"article","venue":"Coatings","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Science Foundation of Zhejiang Province","keywords":"Nut; Robot end effector; Task (project management); Robot; Engineering; Nuts and bolts; Engineering drawing; Set (abstract data type); Process (computing); Mechanical engineering; Computer science; Simulation; Artificial intelligence; Structural engineering; 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":[0.0004847502,0.0003924218,0.0004403012,0.0003561487,0.0002821209,0.0005965218,0.001104938,0.0008537882,0.002663566],"category_scores_gemma":[0.0005103416,0.0002906609,0.0004482934,0.0001320322,0.0003901543,0.0004385271,0.0004098244,0.0003925517,0.001055932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003889491,"about_ca_system_score_gemma":0.0008956672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006713648,"about_ca_topic_score_gemma":0.000643628,"domain_scores_codex":[0.9995486,0.00002751121,0.00001787565,0.0000726392,0.0002951273,0.00003823628],"domain_scores_gemma":[0.9996623,0.00005221613,0.00007717868,0.00004367967,0.0001405462,0.00002405099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002976349,0.0001933178,0.002554482,0.001366623,0.00007478704,0.0008727108,0.0003111585,0.2694798,0.6179233,0.01156875,0.001330446,0.09402686],"study_design_scores_gemma":[0.00007312716,0.001724936,0.006026071,0.00008314621,0.00006955844,0.0007332811,0.00007844277,0.7287168,0.2401633,0.001129227,0.02113329,0.00006880447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06378843,0.000338592,0.9270764,0.00008828912,0.00005753196,0.0003005687,0.0000671099,0.001441104,0.00684205],"genre_scores_gemma":[0.7298828,0.0002668152,0.259114,0.0000579733,0.00001348015,0.0002913951,0.0001261711,0.00008934082,0.01015796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002663566,"threshold_uncertainty_score":0.008910477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559006166624569,"score_gpt":0.2488038083753887,"score_spread":0.223213746709143,"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."}}