{"id":"W4414598698","doi":"10.1016/j.socscimed.2025.118626","title":"How professionals respond to disruptive effects of artificial intelligence on their jurisdiction: The role of interactive governance","year":2025,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute on Governance","funders":"National Major Science and Technology Projects of China; Tsinghua Initiative Scientific Research Program; Ministry of Science and Technology of the People's Republic of China; Tsinghua University; National Natural Science Foundation of China","keywords":"Corporate governance; Narrative; Order (exchange); Work (physics); Narrative review","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":[0.01428884,0.0001931756,0.000267988,0.001527473,0.006402787,0.0142382,0.00151934,0.005803321,0.008899801],"category_scores_gemma":[0.04113654,0.0003514524,0.0003099006,0.001200429,0.01873291,0.008924778,0.007007252,0.002893836,0.0007749149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004325941,"about_ca_system_score_gemma":0.01169886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01550797,"about_ca_topic_score_gemma":0.01688547,"domain_scores_codex":[0.9843443,0.01088977,0.0002271681,0.001051313,0.001229799,0.00225762],"domain_scores_gemma":[0.9694466,0.01759485,0.003116312,0.00239052,0.002969927,0.004481805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001882148,0.0003151296,0.05532189,0.000165237,0.00008626103,0.001324108,0.44395,0.002454303,0.00265159,0.4191193,0.01622035,0.05820367],"study_design_scores_gemma":[0.00007185879,0.0001378406,0.02332358,0.0002792087,0.00006031661,0.0004063348,0.5717671,0.005390741,0.001018779,0.2874164,0.1100312,0.00009673089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6947975,0.000522374,0.01746129,0.05573422,0.0002555221,0.00008175852,0.00004356498,0.0001076041,0.2309962],"genre_scores_gemma":[0.9957451,0.00009389425,0.001035794,0.0009186798,0.00001510472,0.00001433768,0.000007485757,0.00002001062,0.002149577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01550797,"threshold_uncertainty_score":0.07556754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01754543954443417,"score_gpt":0.3181615204975299,"score_spread":0.3006160809530957,"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."}}