{"id":"W2327738405","doi":"10.1177/154193120605000338","title":"Control Task Analysis for Applied Settings","year":2006,"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":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Task (project management); Computer science; Domain (mathematical analysis); Identification (biology); Control (management); Work (physics); Task analysis; Software engineering; Process management; Systems engineering; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004641153,0.0001851361,0.0003507184,0.00006373047,0.0005810644,0.00007601372,0.0002107893,0.0001336508,0.00006046691],"category_scores_gemma":[0.00002855215,0.0001446214,0.0004941158,0.0001748936,0.0001262886,0.000122254,0.0000559684,0.0001625089,0.000001935077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005412494,"about_ca_system_score_gemma":0.000007541873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001639529,"about_ca_topic_score_gemma":0.00001193517,"domain_scores_codex":[0.9988204,0.000007098251,0.0004963763,0.000311061,0.0001015701,0.0002634545],"domain_scores_gemma":[0.9989452,0.0001493007,0.0005790382,0.00008818333,0.0001934061,0.00004485092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004376022,0.0004318952,0.5406914,0.0003681446,0.004227924,5.659739e-8,0.07798184,0.0006893793,0.05161598,0.2399267,0.08320718,0.0004219491],"study_design_scores_gemma":[0.00365267,0.0001233635,0.8951684,0.00006473363,0.001534572,0.000002225642,0.05517995,0.002452638,0.004713985,0.003365753,0.0329118,0.0008298957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916469,0.00002350686,0.00019077,0.0001875731,0.0001622749,0.0003124172,0.0001187753,0.00006517127,0.007292578],"genre_scores_gemma":[0.9983026,0.000001471405,0.0003503677,0.0002438849,0.0001885389,0.00004144109,0.00001652483,0.00002108816,0.0008340843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.354477,"threshold_uncertainty_score":0.5897489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170100312982114,"score_gpt":0.2682824269973406,"score_spread":0.2565814238675194,"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."}}