{"id":"W2152669766","doi":"10.1177/154193120805201921","title":"Applying the Contextual Control Model (COCOM) to the Identification of Situation Awareness Requirements for Tactical Army Commanders","year":2008,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Université Laval; Professional Engineers Ontario","funders":"Defence Research and Development Canada","keywords":"Command and control; Identification (biology); Control (management); Security controls; Computer science; Situation awareness; Operations research; Computer security; Process management; Engineering; Risk analysis (engineering); Systems engineering; Aeronautics; Telecommunications; Business; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001289051,0.0006312774,0.0002254135,0.001534282,0.0005991583,0.001811765,0.0005927797,0.0005034047,0.001621458],"category_scores_gemma":[0.006279182,0.0002070542,0.0005785007,0.0008407299,0.001355615,0.001297998,0.0009854129,0.0005077186,0.0001119984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182157,"about_ca_system_score_gemma":0.002255936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0245887,"about_ca_topic_score_gemma":0.02049081,"domain_scores_codex":[0.9989449,0.0004315299,0.0000613895,0.0002032275,0.0002549188,0.0001039557],"domain_scores_gemma":[0.9972032,0.00169963,0.0002853303,0.0002339284,0.0004580262,0.0001199468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001006067,0.0006853758,0.1045064,0.001275429,0.0002712225,0.001462525,0.02241527,0.1268799,0.01416354,0.4137846,0.005675052,0.3078746],"study_design_scores_gemma":[0.0002023006,0.0008312625,0.06371363,0.0005105177,0.0003514201,0.0008449443,0.01604315,0.7576904,0.008250225,0.1205221,0.0308705,0.0001696224],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4415641,0.0006214243,0.5094871,0.001588684,0.00008039179,0.000776164,0.0003817929,0.0005390696,0.04496138],"genre_scores_gemma":[0.9392874,0.0001463552,0.05938189,0.0001058219,0.00001189972,0.0002671384,0.0001967574,0.00001712048,0.0005856376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0245887,"threshold_uncertainty_score":0.04889119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07007039265902175,"score_gpt":0.3414837754784716,"score_spread":0.2714133828194498,"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."}}