{"id":"W2593008660","doi":"10.5281/zenodo.1334101","title":"Analytical Model Based Evaluation Of Human Machine Interfaces Using Cognitive Modeling","year":2008,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Cognitive model; Cognition; Human–machine system; Artificial intelligence; Psychology; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004458743,0.001361174,0.000688384,0.001542786,0.0004026759,0.002161206,0.001104155,0.0009537906,0.001419942],"category_scores_gemma":[0.02322501,0.0003502447,0.0008046688,0.0006883505,0.0006812857,0.001467339,0.0009420306,0.0005467135,0.0002644997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00185832,"about_ca_system_score_gemma":0.0009945896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003835836,"about_ca_topic_score_gemma":0.001863425,"domain_scores_codex":[0.9951298,0.00296324,0.0001929805,0.0002533409,0.001313591,0.0001469876],"domain_scores_gemma":[0.9887329,0.008635242,0.0005625198,0.0006345841,0.001298635,0.0001360303],"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":[0.001838016,0.001167705,0.01222099,0.000970228,0.00041727,0.0002800603,0.00246736,0.8006624,0.0350411,0.02136297,0.00138087,0.122191],"study_design_scores_gemma":[0.00005318981,0.0006675338,0.002424914,0.00002860872,0.00005323528,0.00004744779,0.0002681011,0.9838982,0.007774973,0.004262725,0.0004767656,0.00004439536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5726806,0.0003024768,0.4175125,0.0002331366,0.0000445009,0.0005142273,0.0001705417,0.0009931661,0.007548746],"genre_scores_gemma":[0.9482443,0.0001058621,0.0508715,0.00002075287,0.000007606413,0.0002729309,0.00008857382,0.00002629435,0.000362313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004458743,"threshold_uncertainty_score":0.02358037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2322060726444016,"score_gpt":0.4270376979266185,"score_spread":0.1948316252822169,"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."}}