{"id":"W3005169147","doi":"10.24251/hicss.2020.066","title":"Human-Machine Interaction and Human Resource Management Perspective for Collaborative Robotics Implementation and Adoption","year":2020,"lang":"en","type":"article","venue":"Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Robotics; Knowledge management; Perspective (graphical); Robot; Human–robot interaction; Human resources; Artificial intelligence; Productivity; Sustainability; Human resource management; SAFER; Computer science; Process management; Engineering; Management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001172764,0.0004581058,0.0004732255,0.0004515638,0.0007897146,0.0008142249,0.002133281,0.000146813,0.00002123136],"category_scores_gemma":[0.00001893786,0.0003375566,0.0001577813,0.0008468925,0.00097728,0.002296702,0.0004028654,0.0003528635,0.000004199217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004199597,"about_ca_system_score_gemma":0.00008260926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006633055,"about_ca_topic_score_gemma":0.0000103602,"domain_scores_codex":[0.99595,0.00002327673,0.001073302,0.0007860292,0.001780182,0.000387201],"domain_scores_gemma":[0.9955944,0.00007879289,0.001041199,0.0001030103,0.003029777,0.0001528044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007920012,0.00004247735,0.001285257,0.0004198884,0.0001279203,2.066445e-7,0.003554136,0.0007579045,0.0006305422,0.9918486,0.0009020814,0.0003518212],"study_design_scores_gemma":[0.0007663927,0.0006596919,0.001211652,0.001679854,0.00005514761,0.0000265541,0.9915292,0.0009020382,0.00077208,0.001637907,0.0003988601,0.0003606715],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02749924,0.00002058037,0.0001181382,0.004327253,0.0008098293,0.001241488,0.000741645,0.0001415954,0.9651002],"genre_scores_gemma":[0.9988734,0.00002073116,0.0004413956,0.00006852814,0.0001870265,0.0001298831,0.00000868496,0.00002590267,0.0002444821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9902107,"threshold_uncertainty_score":0.9999077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05547667505300318,"score_gpt":0.3215394410183909,"score_spread":0.2660627659653877,"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."}}