{"id":"W2888989659","doi":"10.13033/isahp.y2018.053","title":"SYSTEM-OF-SYSTEMS SITUATIONAL AWARENESS EFFECTIVENESS USING AHP","year":2018,"lang":"en","type":"article","venue":"ISAHP proceedings","topic":"Advanced Research in Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Analytic hierarchy process; Situation awareness; Computer science; Situational ethics; Operations research; Psychology; Engineering; Social psychology","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":[0.0006495166,0.0001991646,0.0003469997,0.0001746446,0.0002080488,0.00009147436,0.0002173697,0.0001181557,0.000007747491],"category_scores_gemma":[0.00006765335,0.0001812688,0.00005635997,0.0004490936,0.0001424295,0.0004585009,0.000046987,0.0001438034,0.00001888692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002185897,"about_ca_system_score_gemma":0.00006407719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005392082,"about_ca_topic_score_gemma":6.111089e-7,"domain_scores_codex":[0.9985169,0.00001899934,0.0003781312,0.000253654,0.0004643558,0.0003679471],"domain_scores_gemma":[0.9989228,0.00007789319,0.0000977316,0.00009741468,0.0006940179,0.0001101302],"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":[0.0000947081,0.00004361514,0.01160235,0.01341467,0.0001802507,0.0000110333,0.001075206,0.03472053,0.9212725,0.01539097,0.0003420648,0.001852132],"study_design_scores_gemma":[0.0007715404,0.0001452162,0.001171092,0.003359016,0.00003494653,0.0001684431,0.001523967,0.8523484,0.1375104,0.0003367242,0.002059121,0.0005711683],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8868515,0.0005582103,0.1022529,0.0000025181,0.0009286476,0.0003638538,0.00001161233,0.0003447366,0.008685998],"genre_scores_gemma":[0.9981985,0.000003629519,0.000908372,0.000001793556,0.000750586,0.00004302014,0.00000233124,0.00005494008,0.00003681976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8176278,"threshold_uncertainty_score":0.7391927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03359451999280077,"score_gpt":0.3033631949255435,"score_spread":0.2697686749327428,"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."}}