{"id":"W4392975260","doi":"10.1016/j.procs.2024.01.122","title":"Remarks from an experimental study on human-robot collaborative assembly","year":2024,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Robot; Human–computer interaction; Human–robot interaction; Simulation; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0001600582,0.0001471891,0.0001066505,0.0001444879,0.0001691692,0.0005915645,0.0003427871,0.00002880413,0.00001771053],"category_scores_gemma":[0.000004654109,0.0001316188,0.00001364127,0.0005224872,0.00005475412,0.0006887291,0.00007011163,0.0001149766,0.00002416623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008125831,"about_ca_system_score_gemma":0.00005688466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007735808,"about_ca_topic_score_gemma":0.000004920594,"domain_scores_codex":[0.9988729,0.00001112094,0.0001372952,0.0004471558,0.0003326985,0.0001988808],"domain_scores_gemma":[0.9996195,0.00002489843,0.00001431943,0.0001892176,0.0000591208,0.00009293231],"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":[0.00002412281,0.001150351,0.0009845061,0.000173744,0.0000738755,0.00009823321,0.06489743,0.8491401,0.05193426,0.001753018,0.001447766,0.0283226],"study_design_scores_gemma":[0.0001791642,0.0005574448,0.004931555,0.00006750899,0.000006272689,0.000001397235,0.0003057393,0.874001,0.1194347,0.0001105024,0.0001335815,0.0002711206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8784319,0.0002210799,0.1180768,0.00002620855,0.001207989,0.000311463,0.000004404532,0.0006908737,0.001029353],"genre_scores_gemma":[0.9908283,0.000002709544,0.008800533,0.00004340529,0.0002515547,0.00003668563,0.000005428015,0.00001852064,0.00001284131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1123964,"threshold_uncertainty_score":0.570447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086516485137957,"score_gpt":0.3041768759877287,"score_spread":0.2833117111363491,"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."}}