{"id":"W7023274095","doi":"","title":"Obstructive warfare: Applications and risks for AI in future military operations","year":2024,"lang":"en","type":"other","venue":"Econstor (Econstor)","topic":"Nonlinear Partial Differential Equations","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada; Government of Ontario","keywords":"Pace; Battlefield; Interdiction; Transformative learning; Window of opportunity; Military tactics; Unintended consequences; Collateral damage; Military operation; State (computer science)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002019427,0.0005162799,0.0007218921,0.0006025746,0.0001453231,0.00006907482,0.0003491542,0.0006197396,0.00144933],"category_scores_gemma":[0.0002246616,0.0005345662,0.0002209544,0.0002525805,0.0003091535,0.0001183429,0.0001506775,0.0006035531,0.0004517797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002129563,"about_ca_system_score_gemma":0.0003211873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003702098,"about_ca_topic_score_gemma":0.01814355,"domain_scores_codex":[0.9978243,0.00009333678,0.0006774483,0.0008396016,0.0001702152,0.0003950871],"domain_scores_gemma":[0.9984533,0.0002614267,0.0001189598,0.0009024824,0.00009064815,0.0001732009],"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":[0.00002555322,0.0004313244,0.003586139,0.001467476,0.0007396162,0.00001087279,0.001111112,0.00001529781,0.0001066097,0.2311526,0.7586933,0.002660108],"study_design_scores_gemma":[0.001704815,0.0001120949,0.002101326,0.000748077,0.0008843663,0.00005602277,0.000939093,0.00199123,0.00006733264,0.1289542,0.8607496,0.001691816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09875638,0.09556641,0.09241651,0.01375467,0.02465641,0.0450251,0.04813557,0.005253365,0.5764356],"genre_scores_gemma":[0.0176451,0.001783984,0.2158951,0.000952213,0.01548864,0.01451595,0.002451989,0.00392071,0.7273463],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1509107,"threshold_uncertainty_score":0.9997728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455486033733814,"score_gpt":0.3287318430734746,"score_spread":0.2941769827361365,"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."}}