{"id":"W4388679002","doi":"10.1109/mcs.2023.3310227","title":"[People In Control]","year":2023,"lang":"en","type":"article","venue":"IEEE Control Systems","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salt lake; Library science; Queen (butterfly); Engineering; Operations research; Media studies; Sociology; Computer science; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002998175,0.00009796768,0.0002103684,0.0001507485,0.00006690135,0.00008788917,0.0005089228,0.00004652284,8.78643e-7],"category_scores_gemma":[0.00002079323,0.0000934698,0.00004728082,0.0008226791,0.00001167696,0.0001977048,0.00002472839,0.00008359971,0.0002414231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004916259,"about_ca_system_score_gemma":0.00003309584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006759625,"about_ca_topic_score_gemma":0.00001429738,"domain_scores_codex":[0.9989269,0.0000608351,0.000277185,0.0002829707,0.0001961836,0.000255934],"domain_scores_gemma":[0.9991435,0.0002944078,0.0000825239,0.0003521673,0.0000688642,0.00005857184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009506398,0.00006223547,0.001611892,0.00002597419,0.00002272568,0.00003275034,0.0002084663,0.3953068,0.004423497,0.5878671,0.005570489,0.004858577],"study_design_scores_gemma":[0.0009894809,0.00002737378,0.004170733,0.0000212851,0.000001931371,0.000009786594,0.00001271699,0.9716371,0.0000374236,0.0143084,0.008646408,0.0001373846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003940838,0.00008669939,0.9920051,0.00138796,0.0003493158,0.0005400683,0.00001014257,0.0007279059,0.0009519675],"genre_scores_gemma":[0.9977295,0.000006922831,0.001066962,0.0002697044,0.0001109597,0.0005524298,0.000002418813,0.000008968419,0.0002521266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9937887,"threshold_uncertainty_score":0.3811588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408190537231646,"score_gpt":0.2705546340676647,"score_spread":0.2564727286953483,"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."}}