{"id":"W2020414513","doi":"10.1177/154193120204600350","title":"Assessment of the Tadmus DSS with Work Domain Analysis","year":2002,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Navy; Domain (mathematical analysis); Decision support system; Work (physics); Computer science; Operations research; Class (philosophy); Process (computing); Command and control; Process management; Engineering; Data mining; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004073305,0.0001628702,0.0002775833,0.0000305555,0.0004374079,0.0001178,0.0008850452,0.00007095563,0.000002659344],"category_scores_gemma":[0.00001425592,0.00009063686,0.0002742342,0.0006359459,0.0002043111,0.0002462674,0.0004422847,0.000224959,9.11022e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004259643,"about_ca_system_score_gemma":0.00001712068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004931499,"about_ca_topic_score_gemma":0.000004883674,"domain_scores_codex":[0.9989554,0.00001228762,0.0002992313,0.0002878712,0.0002257362,0.0002194376],"domain_scores_gemma":[0.9990867,0.00005104446,0.0004432185,0.0001971012,0.0001697011,0.00005225314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006624543,0.0001410908,0.9137379,0.000124645,0.000724754,5.825074e-8,0.0316483,0.00193681,0.003546312,0.04686159,0.0006901595,0.0005817373],"study_design_scores_gemma":[0.0006881561,0.0002197768,0.9010304,0.0005010462,0.0005656713,0.000003181453,0.01111458,0.07354595,0.006174911,0.005206068,0.0001824134,0.000767916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954988,0.00005640237,0.003148976,0.0001996559,0.00004684944,0.00009378765,0.00000550318,0.00002325538,0.0009267088],"genre_scores_gemma":[0.988039,0.00002122285,0.01176645,0.00005979258,0.0000228851,0.000003422955,2.30267e-7,0.000007659229,0.0000793124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07160914,"threshold_uncertainty_score":0.3696064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804000389403355,"score_gpt":0.2287470036589807,"score_spread":0.2107069997649472,"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."}}