{"id":"W1964060338","doi":"10.1518/0018720053653820","title":"Designing Effective Human-Automation-Plant Interfaces: A Control-Theoretic Perspective","year":2005,"lang":"en","type":"review","venue":"Human Factors The Journal of the Human Factors and Ergonomics Society","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Automation; Computer science; Set (abstract data type); Perspective (graphical); Relevance (law); Conceptual framework; Control (management); Systems engineering; Interface (matter); Electronic design automation; Management science; Engineering; Artificial intelligence; Epistemology; Embedded system","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00179677,0.001097497,0.002302418,0.0002800919,0.002451679,0.000362107,0.001516132,0.0006445291,0.001556446],"category_scores_gemma":[0.00009773493,0.0005885256,0.002492687,0.0002144428,0.0007879285,0.0003476704,0.0002274481,0.002588405,0.00003555033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509627,"about_ca_system_score_gemma":0.0001494858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002136716,"about_ca_topic_score_gemma":0.00009219202,"domain_scores_codex":[0.9943306,0.001977871,0.002111987,0.0005286677,0.0004409296,0.000609897],"domain_scores_gemma":[0.9926966,0.001742401,0.004157068,0.0008417935,0.0003275178,0.0002346407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006629081,0.002966849,0.003352267,0.006045043,0.04381976,0.00002754311,0.549543,0.0004133611,0.0006763653,0.1004848,0.2679353,0.02407278],"study_design_scores_gemma":[0.005875785,0.001564904,0.02140455,0.009538455,0.01267517,0.0006364316,0.06919196,0.00005135111,0.0001002454,0.003221664,0.8722804,0.003459072],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2854648,0.6999022,0.0005992855,0.0001052683,0.004589863,0.004124715,0.003220174,0.0002344222,0.001759362],"genre_scores_gemma":[0.6879479,0.3082312,0.00003743774,0.000275425,0.001523227,0.00007892788,0.000355108,0.0002691327,0.001281725],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6043451,"threshold_uncertainty_score":0.9997126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04547436342787156,"score_gpt":0.3617264136653709,"score_spread":0.3162520502374994,"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."}}