{"id":"W1981854701","doi":"10.1177/154193120204600311","title":"Mental Models and Ecological Interface Design: An Experimental Investigation","year":2002,"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":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interface (matter); Card sorting; Computer science; Abstraction; Sorting; Mental model; Hierarchy; Selection (genetic algorithm); Human–computer interaction; Psychology; Task (project management); Artificial intelligence; Engineering; Systems engineering; Cognitive science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002684619,0.0001618588,0.0001754229,0.00002486939,0.0004904245,0.00008126775,0.0001517032,0.0001230669,0.0001946979],"category_scores_gemma":[0.00001523941,0.0001249743,0.00008519501,0.00004517785,0.0002376919,0.0005309709,0.0001298915,0.0001856976,0.000002311597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006747884,"about_ca_system_score_gemma":0.000002922489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003200937,"about_ca_topic_score_gemma":0.00000161202,"domain_scores_codex":[0.9991221,0.00002578922,0.0003113083,0.0002768545,0.00008761141,0.0001763081],"domain_scores_gemma":[0.9994959,0.00004835713,0.0002465443,0.00005875352,0.00005996397,0.00009049541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001352986,0.000639009,0.0422957,0.00007637349,0.0002389442,1.345345e-7,0.7868667,0.0002465902,0.1249995,0.02517947,0.0187972,0.0005250874],"study_design_scores_gemma":[0.003634859,0.001716848,0.1521968,0.0002670326,0.0001348176,0.00005401608,0.612902,0.1063073,0.1141141,0.00563636,0.001521816,0.001514181],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975179,0.0001129687,0.00002028614,0.00011553,0.0001935476,0.0002007218,0.00001083524,0.00005339333,0.001774834],"genre_scores_gemma":[0.9987777,0.00001877746,0.0006276051,0.0001421014,0.00005644268,0.00001342313,0.000002028211,0.00001509334,0.0003467886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1739648,"threshold_uncertainty_score":0.5096306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07750119446718,"score_gpt":0.3183828011153962,"score_spread":0.2408816066482162,"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."}}