{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002111842,0.0005361831,0.0004051995,0.00106614,0.001697355,0.006745827,0.000853401,0.002286713,0.035639],"category_scores_gemma":[0.007958952,0.000216801,0.0005686106,0.001344174,0.004302063,0.007232511,0.003048681,0.003057259,0.005015993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002596197,"about_ca_system_score_gemma":0.001926077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003637177,"about_ca_topic_score_gemma":0.005238143,"domain_scores_codex":[0.9991642,0.0003925586,0.00003732977,0.00009158672,0.000212689,0.0001016229],"domain_scores_gemma":[0.9967539,0.001856513,0.0003271151,0.0002895557,0.0004284938,0.000344468],"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":[0.00003414403,0.00004678942,0.002124565,0.0002769498,0.00001350438,0.000208136,0.0004425966,0.006362599,0.0001938506,0.8789315,0.04622326,0.06514217],"study_design_scores_gemma":[0.00001105497,0.00005255829,0.001902309,0.0007168356,0.00001103135,0.0003169102,0.001808162,0.01245909,0.0002224625,0.7830716,0.1993896,0.00003837645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02445933,0.04156762,0.07940346,0.1765832,0.004185953,0.0001095579,0.0006556531,0.000392872,0.6726424],"genre_scores_gemma":[0.7211143,0.07267088,0.04334445,0.007105406,0.003677416,0.00029044,0.0006934051,0.0003323122,0.1507713],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.035639,"threshold_uncertainty_score":0.1192244,"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."}}