{"id":"W4394568340","doi":"10.32388/h4i92a","title":"Review of: \"[Commentary] Service Sector Work Under Pressure From New Technologies and Artificial Intelligence – Lessons From a Number of Foresight Studies\"","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Economic Development and Digital Transformation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Futures studies; Work (physics); Service (business); Tertiary sector of the economy; Engineering; Engineering management; Engineering ethics; Management; Knowledge management; Business; Artificial intelligence; Computer science; Marketing; Mechanical engineering; Economics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000332452,0.0003852216,0.001639774,0.0001520655,0.00003026613,0.00005602615,0.0004375721,0.0002753095,0.002544738],"category_scores_gemma":[0.00008618184,0.0003652331,0.0002063628,0.0004460408,0.0000813195,0.0002917898,0.0002692735,0.000290506,0.0003469244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007118253,"about_ca_system_score_gemma":0.00006924027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001967661,"about_ca_topic_score_gemma":0.001076683,"domain_scores_codex":[0.9972578,0.00001284705,0.001852299,0.0006028404,0.00006354677,0.0002106624],"domain_scores_gemma":[0.9983791,0.0002488351,0.0007697016,0.0004578788,0.00009476204,0.00004970599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000116234,0.00003974962,0.0002183962,0.03028637,0.00116403,5.94414e-7,0.0002659714,0.000001438371,1.669063e-7,0.01950349,0.9207247,0.02778346],"study_design_scores_gemma":[0.00006056416,0.0000114163,0.00004933117,0.03774128,0.0002354613,4.688726e-7,0.0001962479,0.00002208999,0.00006412734,0.248054,0.7131951,0.0003698161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001554466,0.8481042,0.000774418,0.1334513,0.00127615,0.0007253474,0.00402275,0.00008038907,0.01141003],"genre_scores_gemma":[0.001282134,0.9628343,0.003513019,0.01043203,0.000165507,0.00008836485,0.002264602,0.00005730923,0.01936275],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2285505,"threshold_uncertainty_score":0.99988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1612912186196877,"score_gpt":0.3241376514989499,"score_spread":0.1628464328792622,"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."}}