{"id":"W2021955540","doi":"10.1080/00140130310001629748","title":"Factors affecting performance on a target monitoring task employing an automatic tracker","year":2003,"lang":"en","type":"article","venue":"Ergonomics","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Workload; Automation; Computer science; Task (project management); Situation awareness; Artificial intelligence; Simulation; Real-time computing; Engineering; Operating 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003070758,0.0001996403,0.0001976155,0.0001495486,0.0002809159,0.00007343163,0.0001326414,0.0001065383,0.00195567],"category_scores_gemma":[0.00007324345,0.0001938965,0.0000757861,0.00009894472,0.0000212058,0.0003134124,0.000009742312,0.000298716,0.0007669564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001735608,"about_ca_system_score_gemma":0.00002624314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001121111,"about_ca_topic_score_gemma":0.000003040016,"domain_scores_codex":[0.998775,0.0001664253,0.0003473912,0.0003027149,0.00009640113,0.0003120669],"domain_scores_gemma":[0.999185,0.0001663698,0.0001631274,0.0003464923,0.00002784102,0.0001111418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003245029,0.001663948,0.7673315,0.0001657077,0.0005502018,0.00002277404,0.1383552,0.01430322,0.002571501,0.0152848,0.003394202,0.0560324],"study_design_scores_gemma":[0.0008083472,0.0002868292,0.9698737,0.00007174377,0.00001893592,0.0000169656,0.007720929,0.005611735,0.004888729,0.00005317988,0.01014123,0.0005077351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790056,0.00001253578,0.000335473,0.00001171919,0.003547258,0.0001542296,0.000003713153,0.0003160506,0.01661343],"genre_scores_gemma":[0.9976775,0.000002236151,0.0008617707,0.00007896305,0.000203772,0.00001937799,0.00000946479,0.00004370865,0.001103172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2025421,"threshold_uncertainty_score":0.9989567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06024424346920649,"score_gpt":0.3490576525197933,"score_spread":0.2888134090505868,"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."}}