{"id":"W3011830941","doi":"10.23919/fusion43075.2019.9011196","title":"Measurement of Level 5 Fusion With Workload Consensus","year":2019,"lang":"en","type":"article","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Workload; Task (project management); Computer science; Sonar; Sensor fusion; Operator (biology); Fusion; Index (typography); Real-time computing; Simulation; Artificial intelligence; Engineering; 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":[0.005538888,0.00110168,0.0009151711,0.0024253,0.000961157,0.002238531,0.001190081,0.00078595,0.00251674],"category_scores_gemma":[0.02309379,0.0004388389,0.0006782932,0.001781782,0.0006646845,0.002349942,0.003845873,0.001069337,0.0008525346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107575,"about_ca_system_score_gemma":0.001265489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002368617,"about_ca_topic_score_gemma":0.002363674,"domain_scores_codex":[0.9917479,0.001256509,0.0004767835,0.001393091,0.004558867,0.0005668179],"domain_scores_gemma":[0.9846577,0.004047309,0.002090569,0.001858432,0.006727533,0.0006184728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001425525,0.0005349219,0.05077132,0.0005879326,0.0004442344,0.0002236598,0.004514905,0.1930264,0.1126165,0.01698457,0.004646295,0.6142236],"study_design_scores_gemma":[0.00005022977,0.001020005,0.05021422,0.0001087224,0.0001305504,0.0001561076,0.001122699,0.8601072,0.05922114,0.02261433,0.004998988,0.0002557787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1199479,0.00008195439,0.8735591,0.00009995479,0.00004196349,0.0001925726,0.0002262225,0.0009778802,0.004872537],"genre_scores_gemma":[0.833495,0.00004806379,0.1643198,0.00006899452,0.00003187256,0.0002768522,0.0004734752,0.0001618241,0.001124089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005538888,"threshold_uncertainty_score":0.02929276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08028791635027908,"score_gpt":0.3420236243414501,"score_spread":0.261735707991171,"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."}}