{"id":"W3142541787","doi":"10.1109/thms.2021.3066456","title":"Does Explicit Categorization Taxonomy Facilitate Performing Goal-Directed Task Analysis?","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Human-Machine Systems","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; École de Technologie Supérieure","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Categorization; Computer science; Taxonomy (biology); Task (project management); Artificial intelligence; Task analysis; Natural language processing; Machine learning; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003778046,0.0004089165,0.0006349552,0.000813992,0.0008806251,0.0002052817,0.0002222847,0.0002213027,0.009958475],"category_scores_gemma":[0.00001305324,0.0003251198,0.0004784915,0.001207978,0.00004924741,0.0003683848,0.000002510824,0.0005576593,0.001002614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000254838,"about_ca_system_score_gemma":0.00005608413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001739054,"about_ca_topic_score_gemma":0.001855045,"domain_scores_codex":[0.9966058,0.0006611915,0.001080831,0.0008112959,0.0004070066,0.0004338349],"domain_scores_gemma":[0.9979898,0.0002484843,0.0003297615,0.0008573831,0.0003831853,0.0001913853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001138341,0.008944076,0.007086748,0.001268731,0.0316042,0.0005602363,0.08913618,0.7003082,0.0632838,0.02994467,0.01487162,0.05185318],"study_design_scores_gemma":[0.01250943,0.001084617,0.02162527,0.0005651118,0.006228011,0.0004061346,0.05588926,0.4571488,0.01887004,0.0002372676,0.4196829,0.005753098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07305057,0.0001405346,0.889845,0.0002103776,0.007792307,0.0009973372,0.0005656003,0.001261185,0.02613706],"genre_scores_gemma":[0.9461107,0.0000138242,0.00008198761,0.00009713454,0.0001845525,0.0007980604,0.0003390258,0.00004793648,0.05232672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8897631,"threshold_uncertainty_score":0.9999201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05351401764138237,"score_gpt":0.3334856793286659,"score_spread":0.2799716616872835,"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."}}