{"id":"W274470439","doi":"","title":"Exploring Command and Control Concepts for an Integrated Effect Coordination Cell using an Enhanced Tabletop Experimentation Approach: Report on the Integrated Effects Coordination Cell Exploratory Experiment (IECCEX)","year":2007,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automation; Process (computing); Control (management); Computer science; Process management; Situation awareness; Systems engineering; Exploratory research; Identification (biology); Engineering management; Engineering; Knowledge management; Operations research; Artificial intelligence; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002020184,0.0006357424,0.000288497,0.00023724,0.0005964905,0.00231719,0.0008307964,0.0008112121,0.005306569],"category_scores_gemma":[0.003997646,0.000342705,0.0004251968,0.0001554289,0.001834783,0.002254761,0.001540431,0.001194989,0.0002588227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008606481,"about_ca_system_score_gemma":0.001133883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002962556,"about_ca_topic_score_gemma":0.003420884,"domain_scores_codex":[0.9987423,0.0006768718,0.0000384773,0.0001661984,0.0002641145,0.0001121736],"domain_scores_gemma":[0.9974808,0.001922578,0.0001084462,0.0002124473,0.0001515295,0.0001242481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003556174,0.007132548,0.01691615,0.001544924,0.0001769359,0.001810564,0.0439629,0.1320495,0.4519922,0.1207691,0.002945304,0.2171437],"study_design_scores_gemma":[0.002089911,0.02255899,0.04132758,0.0004842716,0.0003293429,0.001589722,0.03237849,0.5457907,0.2332811,0.03556059,0.0841649,0.000444586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7340555,0.00009842549,0.2427468,0.0004014062,0.00002147762,0.001307686,0.00009602911,0.0003508932,0.02092183],"genre_scores_gemma":[0.8648053,0.0000973905,0.1318205,0.0000781688,0.000006756992,0.0005870762,0.00007936844,0.00002433697,0.00250099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005306569,"threshold_uncertainty_score":0.01775223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07933934305778245,"score_gpt":0.3642929087096618,"score_spread":0.2849535656518793,"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."}}