{"id":"W2759222761","doi":"10.1177/1541931213601778","title":"Comparing Naval Decision Support Technologies Using Decision Models, Process Tracing and Error Analysis","year":2017,"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":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Thales (Canada)","funders":"","keywords":"Testbed; Task (project management); Computer science; Decision support system; Radar; Process (computing); Cognition; Command and control; Baseline (sea); Tracing; Artificial intelligence; Human–computer interaction; Operations research; Engineering; Psychology; Systems engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01386394,0.001266654,0.0007278572,0.001904747,0.0004491148,0.003381988,0.001098491,0.00142248,0.001270658],"category_scores_gemma":[0.08079505,0.0005486008,0.0008269473,0.001156143,0.0006408255,0.005290169,0.001517682,0.001217924,0.0002905312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001393216,"about_ca_system_score_gemma":0.0009612106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004343211,"about_ca_topic_score_gemma":0.003119973,"domain_scores_codex":[0.9872993,0.007834895,0.001345096,0.0008440537,0.002314262,0.0003623575],"domain_scores_gemma":[0.8919811,0.09036471,0.006409606,0.005827142,0.004553373,0.0008641785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01836546,0.00931704,0.1379835,0.002743189,0.002327442,0.0002665799,0.007429074,0.2122076,0.04657567,0.01024056,0.001804183,0.5507397],"study_design_scores_gemma":[0.00111841,0.01803674,0.1154916,0.0003263872,0.0009790164,0.0002965467,0.003291117,0.8033606,0.03811612,0.01430705,0.004073252,0.0006030999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9480706,0.0002632407,0.04827587,0.0001818004,0.00005682504,0.000509305,0.0001961439,0.0004041019,0.002042166],"genre_scores_gemma":[0.9397657,0.0001829738,0.05881043,0.00006097712,0.00002875727,0.0005427732,0.0002087531,0.00006272535,0.0003370112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01386394,"threshold_uncertainty_score":0.07332039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06572672637480352,"score_gpt":0.3586388682539633,"score_spread":0.2929121418791598,"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."}}