{"id":"W4404146814","doi":"10.1002/hfm.21059","title":"Towards Holistic Functional Task Analysis","year":2024,"lang":"en","type":"article","venue":"Human Factors and Ergonomics in Manufacturing & Service Industries","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Waterloo; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Task (project management); Computer science; Human–computer interaction; Psychology; Process management; Engineering; Systems 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":[],"category_scores_codex":[0.0002135492,0.0002811862,0.0003330235,0.0007510938,0.0002406275,0.0003658689,0.0001639894,0.0002527311,0.007705094],"category_scores_gemma":[0.00001518713,0.0002580165,0.0001015725,0.0004205252,0.00006959046,0.000233191,0.00008155989,0.000634713,0.0001981991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001877989,"about_ca_system_score_gemma":0.00005654481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002012656,"about_ca_topic_score_gemma":0.001622528,"domain_scores_codex":[0.9984859,0.00006899032,0.0004847703,0.0005133017,0.0001339909,0.0003130678],"domain_scores_gemma":[0.9992967,0.0001749347,0.00008668181,0.0002847457,0.00004315629,0.0001137874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001406492,0.001138457,0.3400441,0.001151559,0.01281038,0.0003981056,0.0984445,0.02216735,0.0004615791,0.4068951,0.05148124,0.06360116],"study_design_scores_gemma":[0.0002600712,0.00002571875,0.9484321,0.00003968276,0.000184943,0.000007000177,0.003146847,0.0004371868,0.0003289738,0.0009968651,0.04582184,0.000318788],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989705,0.0001235698,0.0001879364,0.0002556007,0.001353062,0.0001081646,0.00007201163,0.0002065859,0.007988017],"genre_scores_gemma":[0.9960459,0.00001376424,0.00001278857,0.0002997895,0.0002461148,0.00002450539,0.0002287417,0.00002797079,0.00310041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.608388,"threshold_uncertainty_score":0.9999872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07519751329510264,"score_gpt":0.3380466178211913,"score_spread":0.2628491045260886,"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."}}