{"id":"W2159522049","doi":"10.1016/j.ergon.2013.08.009","title":"Human factors and use of amusement ride control interfaces","year":2013,"lang":"en","type":"article","venue":"International Journal of Industrial Ergonomics","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Amusement; Interface (matter); Control (management); Human–computer interaction; Function (biology); Process (computing); Operator (biology); Automation; Heuristics; Situation awareness; Recreation; Computer science; Task (project management); Heuristic; User interface; Risk analysis (engineering); USable; Simulation; Engineering; Systems engineering; Artificial intelligence; World Wide Web; Business","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":[0.001691117,0.0003014475,0.0002074785,0.001422615,0.0006883292,0.00153378,0.0003879642,0.0007413324,0.00448662],"category_scores_gemma":[0.03151306,0.0001788961,0.0004833941,0.0006117469,0.0003248428,0.0006284078,0.0007010868,0.000398553,0.0005817816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004118721,"about_ca_system_score_gemma":0.0004856162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009446498,"about_ca_topic_score_gemma":0.01051211,"domain_scores_codex":[0.9976593,0.001052933,0.0003065843,0.0001614719,0.0006268631,0.000192729],"domain_scores_gemma":[0.980494,0.01136829,0.003187365,0.000690345,0.003185746,0.001074248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001165286,0.0009554308,0.9319586,0.0003134762,0.0003268087,0.0005734797,0.00895427,0.0003434597,0.006381155,0.0002043483,0.0008231131,0.04800053],"study_design_scores_gemma":[0.00001897522,0.0008742892,0.9925556,0.00006533536,0.00008668945,0.0007842214,0.002626498,0.000642048,0.000424967,0.00006758074,0.001828588,0.00002523945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951739,0.0008067202,0.0003222027,0.0001023704,0.00001386325,0.00005800519,0.0001228074,0.00002297626,0.003377154],"genre_scores_gemma":[0.9983501,0.0003203708,0.0003267619,0.00004173626,0.00001514422,0.00003132404,0.00008681419,0.00001097701,0.0008167573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009446498,"threshold_uncertainty_score":0.01878303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08159442009725185,"score_gpt":0.35187677002624,"score_spread":0.2702823499289881,"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."}}