{"id":"W2329015048","doi":"10.1177/154193120504900314","title":"An Examination of Situation Awareness and Confidence within a Distributed Multinational Coalition","year":2005,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Military Strategy and Technology","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces","funders":"","keywords":"Multinational corporation; Conflict resolution; Calibration; Situation awareness; Knowledge management; Computer science; Psychology; Operations research; Political science; Engineering; Mathematics; Statistics; Law","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":[0.0002799792,0.00009167728,0.0001196077,0.00002276619,0.0001600494,0.00001439234,0.00008821,0.00009887535,0.000001585947],"category_scores_gemma":[0.00003406933,0.00008014953,0.00003130993,0.00006029773,0.0001306309,0.00037338,0.00002982267,0.00009915791,3.883689e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003167567,"about_ca_system_score_gemma":0.000006278977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003795436,"about_ca_topic_score_gemma":0.00002164777,"domain_scores_codex":[0.9994993,0.000004655933,0.0002286309,0.0001154165,0.00006701222,0.00008497338],"domain_scores_gemma":[0.9996535,0.0000335149,0.0001262987,0.00003584496,0.0001284078,0.00002246281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004536034,0.0001889369,0.2454995,0.001373839,0.0001977444,4.62981e-8,0.08375517,0.0209237,0.5321028,0.1119389,0.0001582259,0.003815771],"study_design_scores_gemma":[0.0004125183,0.00008358096,0.6972225,0.0001302337,0.00003809098,0.000002338717,0.02069953,0.1341463,0.1449846,0.002039523,0.00002142568,0.0002193324],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994529,0.00006006402,0.000195496,0.00001912172,0.00002450615,0.00008889339,0.0000639444,0.00004715162,0.00004785882],"genre_scores_gemma":[0.9991854,0.00002988818,0.0007180633,0.000003891654,0.00002403087,0.000003562066,0.00002521628,0.000007175877,0.00000280352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.451723,"threshold_uncertainty_score":0.3268403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231302727610312,"score_gpt":0.2253514855917029,"score_spread":0.2130384583155998,"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."}}