{"id":"W2162366169","doi":"10.1177/1071181312561342","title":"Supporting Change Detection in Complex Dynamic Situations: Does the CHEX Serve its Purpose?","year":2012,"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":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Defence Research and Development Canada","keywords":"Change detection; Task (project management); Workload; Computer science; Change blindness; Inattentional blindness; Human–computer interaction; Function (biology); Artificial intelligence; Cognitive psychology; Perception; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003242042,0.0006952301,0.0006071326,0.0005267778,0.000322403,0.001471499,0.0009500821,0.001278202,0.003199868],"category_scores_gemma":[0.02120886,0.0002822875,0.0002943874,0.0002842948,0.0008004435,0.003764255,0.001028523,0.0007191377,0.0008031544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001783091,"about_ca_system_score_gemma":0.0007821997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006641824,"about_ca_topic_score_gemma":0.000728897,"domain_scores_codex":[0.9985586,0.0006445131,0.00008203771,0.0001564772,0.0003979549,0.0001605174],"domain_scores_gemma":[0.9840024,0.01179395,0.001277914,0.001175744,0.0008637276,0.000886414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003209098,0.003910731,0.03945436,0.002456459,0.0001816377,0.0003213829,0.004966216,0.002488686,0.0871232,0.002991218,0.002240421,0.8506565],"study_design_scores_gemma":[0.001316462,0.03826256,0.7213547,0.00287601,0.001087533,0.002451221,0.0124946,0.07112423,0.09175007,0.01226436,0.0445686,0.0004496366],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526508,0.002250928,0.02935302,0.002081187,0.0001737974,0.0005037052,0.00006603395,0.0006455046,0.012275],"genre_scores_gemma":[0.9718066,0.00100492,0.0252661,0.0003237369,0.000061265,0.0001292066,0.00004679135,0.00005662467,0.001304834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003242042,"threshold_uncertainty_score":0.01714575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04604347336153514,"score_gpt":0.3378376057419836,"score_spread":0.2917941323804485,"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."}}