{"id":"W2026409197","doi":"10.1177/1071181312561086","title":"Applying Work Domain Analysis to Scope Micro- or Scaled World Simulator Design: A Petrochemical Domain Case Study.","year":2012,"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":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Scope (computer science); Domain (mathematical analysis); Computer science; Fidelity; Work (physics); Simulation; Systems engineering; Modeling and simulation; Human–computer interaction; Software engineering; Engineering; Mechanical 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":[0.002340529,0.0004374456,0.0001605953,0.0009795402,0.001042384,0.001451482,0.0009075816,0.0009852824,0.002773584],"category_scores_gemma":[0.005845467,0.0002313584,0.0004380928,0.0005884517,0.001264285,0.00118827,0.001662276,0.0007409697,0.0003983376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556577,"about_ca_system_score_gemma":0.001717187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004011036,"about_ca_topic_score_gemma":0.008901846,"domain_scores_codex":[0.9984455,0.001118443,0.00004855965,0.00008813282,0.0002228888,0.00007653995],"domain_scores_gemma":[0.9963369,0.002579373,0.0002269481,0.0002896978,0.000346678,0.0002203251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000776596,0.005185705,0.05769863,0.002049912,0.0001862717,0.005564996,0.09818323,0.1873482,0.04322637,0.1276705,0.01216025,0.4599493],"study_design_scores_gemma":[0.0003970224,0.003640563,0.05986574,0.001034042,0.0002105026,0.003915302,0.1389185,0.461109,0.03656681,0.08851796,0.2055308,0.0002937562],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6412392,0.0003648501,0.3097833,0.001261814,0.00005762981,0.001734655,0.0002871094,0.0002835614,0.04498786],"genre_scores_gemma":[0.8846043,0.0002546597,0.110374,0.00009677119,0.000004654862,0.000373464,0.0001311976,0.00003809762,0.004122852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004011036,"threshold_uncertainty_score":0.01237804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03995918123702554,"score_gpt":0.3313884434263941,"score_spread":0.2914292621893685,"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."}}