{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01444582,0.001601895,0.003053061,0.004769707,0.009586417,0.008169703,0.008852533,0.06579416,0.02116813],"category_scores_gemma":[0.1164527,0.00161332,0.003087764,0.004608798,0.006528772,0.00566299,0.003394979,0.04979045,0.01379824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01483466,"about_ca_system_score_gemma":0.049142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07883444,"about_ca_topic_score_gemma":0.1914248,"domain_scores_codex":[0.9861726,0.002249671,0.001489603,0.001326569,0.007001718,0.001759892],"domain_scores_gemma":[0.8778315,0.06509756,0.005949466,0.002346804,0.04263528,0.006139406],"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":[0.000006743202,0.00000174382,0.000008635676,0.00009219244,0.000004537035,0.0000400566,0.00002924745,0.00000605254,0.00001171744,0.0003702743,0.9985794,0.0008493214],"study_design_scores_gemma":[0.00003577988,0.000008215133,0.000461325,0.0009451039,0.00003667892,0.00007527771,0.0001481446,0.00004386268,0.00005126156,0.001146804,0.9970224,0.0000251332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.00007143299,0.003578458,0.00007392542,0.8065862,0.1855271,0.0000566433,0.0003737209,0.00004483205,0.003687694],"genre_scores_gemma":[0.000736805,0.00276953,0.00009995774,0.8758489,0.1080782,0.0001480221,0.0001252941,0.00005381389,0.0121396],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07883444,"threshold_uncertainty_score":0.1567512,"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."}}