{"id":"W4206007871","doi":"10.24251/hicss.2022.631","title":"Ripples of Change – An AI Job Crafting Model for Human-in-Control","year":2022,"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":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Control (management); Human–computer interaction; 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":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.003513076,0.0005877941,0.0008116798,0.001050253,0.0008770619,0.0005282132,0.007450763,0.0001944597,0.00005609647],"category_scores_gemma":[0.00005615865,0.0004434094,0.0004089341,0.001122989,0.001155829,0.003588444,0.0005910337,0.0006453087,0.000004511781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006114508,"about_ca_system_score_gemma":0.000313526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001916661,"about_ca_topic_score_gemma":0.0000263908,"domain_scores_codex":[0.9927427,0.00003637602,0.001897949,0.0009380103,0.003673174,0.0007117599],"domain_scores_gemma":[0.9943039,0.0001423151,0.001501237,0.0002298227,0.003666683,0.0001560466],"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":[0.000129963,0.0001362182,0.006049195,0.0004094369,0.00008082823,2.817669e-7,0.003679911,0.009731759,0.001924683,0.9772114,0.0003910245,0.0002553173],"study_design_scores_gemma":[0.001648861,0.00100913,0.002091276,0.003516922,0.0000538659,0.00007311276,0.8952522,0.0877313,0.002014626,0.005575147,0.0002204336,0.0008131013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1553007,0.00001864583,0.0001520743,0.001947404,0.002251787,0.001480325,0.002386385,0.0001641068,0.8362985],"genre_scores_gemma":[0.9982914,0.000007340174,0.0002494287,0.00009949227,0.0002328614,0.0005587813,0.000007390746,0.00004131571,0.0005119432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9716362,"threshold_uncertainty_score":0.9998018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09838801658305818,"score_gpt":0.3138248771268981,"score_spread":0.2154368605438399,"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."}}