{"id":"W267452593","doi":"","title":"Actionable Intelligence for the Warfighter","year":2005,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Military Strategy and Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Battlespace; Adversary; Context (archaeology); Situation awareness; Military intelligence; Engineering; Computer science; Computer security; Sensor fusion; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001392686,0.0001137013,0.00009289227,0.00007779408,0.0001012434,0.00003500659,0.0002188892,0.0001398357,0.0002170521],"category_scores_gemma":[0.00004750436,0.00008319222,0.00007174994,0.0001279892,0.00005866496,0.0006750841,0.00003062471,0.000217186,0.00045745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005977914,"about_ca_system_score_gemma":0.000007415448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002457713,"about_ca_topic_score_gemma":0.00001435906,"domain_scores_codex":[0.9992612,0.000004857057,0.0003398961,0.00006828873,0.00009497391,0.0002308042],"domain_scores_gemma":[0.9995011,0.0001143345,0.00002764167,0.0002603155,0.00005917557,0.00003741361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001476511,0.0001492491,0.0001969853,0.0002599538,0.0001873286,0.000001692351,0.0007078464,0.0723771,0.0006128282,0.2969206,0.1663088,0.46213],"study_design_scores_gemma":[0.0002016464,0.00003723564,0.0003040424,0.00001122218,0.00001307046,0.00003795934,0.00008151133,0.08683773,0.003525201,0.002231801,0.9065641,0.0001544525],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006860287,0.000272539,0.9559605,0.002759415,0.0005209325,0.0008196826,0.00007859367,0.0018345,0.0308936],"genre_scores_gemma":[0.9945308,0.0001245908,0.004359126,0.0006578708,0.00006944264,0.0001211363,0.00005273166,0.00000946083,0.00007484714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9876705,"threshold_uncertainty_score":0.5879747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612240551184365,"score_gpt":0.2323448909386155,"score_spread":0.2162224854267719,"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."}}