{"id":"W4405634896","doi":"10.1111/capa.12593","title":"From Machinery to Executive Density: Time for Structural Reforms?","year":2024,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Executive summary; Executive functions; Business; Psychology; Cognition; Neuroscience; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007134043,0.000308646,0.0004739532,0.001757008,0.007868513,0.01231266,0.002479216,0.005927193,0.05120893],"category_scores_gemma":[0.03293221,0.0002961473,0.000504504,0.002295125,0.01190015,0.008600634,0.004273438,0.005883963,0.002766367],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06692476,"about_ca_system_score_gemma":0.1122789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6046312,"about_ca_topic_score_gemma":0.6682377,"domain_scores_codex":[0.9905648,0.001367629,0.0001715071,0.0006035498,0.00201327,0.005279282],"domain_scores_gemma":[0.9833766,0.002573313,0.001041718,0.0007362607,0.004895184,0.007376958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001113957,0.00009923117,0.004677598,0.0001494622,0.00001742968,0.0001931279,0.005127701,0.0007494488,0.0004555736,0.7578917,0.1797574,0.05076987],"study_design_scores_gemma":[0.0001026737,0.0001267836,0.03055768,0.0008098129,0.0000300697,0.00007108248,0.02159362,0.0008468685,0.0006447242,0.1198186,0.8253116,0.00008649362],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04361841,0.002516169,0.002056697,0.8214025,0.00132367,0.00009046833,0.0005225816,0.0001991031,0.1282704],"genre_scores_gemma":[0.8943167,0.001585274,0.001647241,0.06360409,0.0007945736,0.00008521608,0.0002276012,0.0001243685,0.03761497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9330752,"threshold_uncertainty_score":0.7953944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03717795834104475,"score_gpt":0.368310783651119,"score_spread":0.3311328253100743,"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."}}