{"id":"W7084150436","doi":"10.64628/aam.kteg4dgc7","title":"AI is making elections weird: Lessons from a simulated war-game exercise","year":2025,"lang":"en","type":"article","venue":"","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Government (linguistics); Work (physics); Training (meteorology); Context (archaeology)","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":[0.0037861,0.000953529,0.0005558724,0.0005106087,0.002991731,0.004058805,0.003232237,0.004543297,0.01354091],"category_scores_gemma":[0.02400935,0.000419887,0.0006454056,0.0003599361,0.003300572,0.00321576,0.002671024,0.004660663,0.001864907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137084,"about_ca_system_score_gemma":0.001956812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007416011,"about_ca_topic_score_gemma":0.01670794,"domain_scores_codex":[0.9978104,0.001473507,0.00004935883,0.0001754719,0.0001949226,0.0002963335],"domain_scores_gemma":[0.9832258,0.01330314,0.0003965463,0.0005928427,0.0006427255,0.001838924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005042452,0.01854585,0.04238008,0.001632047,0.0008592106,0.005488445,0.06049233,0.2945034,0.007626509,0.218402,0.1536476,0.1913801],"study_design_scores_gemma":[0.001456063,0.00450566,0.01398993,0.0006632046,0.0001843289,0.000970346,0.05213339,0.3876492,0.003656405,0.3854857,0.1489271,0.0003787095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7245556,0.0008302705,0.07076813,0.02483428,0.00167512,0.0007106257,0.0005911408,0.0008152376,0.1752196],"genre_scores_gemma":[0.9656608,0.0002897544,0.01756907,0.00137718,0.0001197759,0.0003179796,0.0002545873,0.000101492,0.01430949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01354091,"threshold_uncertainty_score":0.04529887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674469513816111,"score_gpt":0.3460179084454454,"score_spread":0.3292732133072843,"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."}}