{"id":"W2055730406","doi":"10.1177/1541931214581217","title":"The LABY Microworld","year":2014,"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":"Université Laval","funders":"","keywords":"Stylus; Computer science; Controller (irrigation); Air traffic control; Interface (matter); Control (management); Human error; Human–computer interaction; Human-in-the-loop; Control engineering; Simulation; Systems engineering; Engineering; Artificial intelligence; Reliability engineering; Aerospace 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006895695,0.000780816,0.0004214417,0.0006594452,0.000790164,0.002428464,0.001572252,0.001008875,0.0566706],"category_scores_gemma":[0.003424206,0.0004760226,0.0005798241,0.0004879571,0.000889248,0.002835572,0.002904095,0.001272846,0.008615446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008613906,"about_ca_system_score_gemma":0.001528535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004662256,"about_ca_topic_score_gemma":0.006081314,"domain_scores_codex":[0.9995382,0.0001678577,0.00002244725,0.00008299819,0.0001294067,0.00005912479],"domain_scores_gemma":[0.998577,0.000497749,0.00007080105,0.0003436865,0.0002189149,0.0002918474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001978746,0.0008096701,0.007628969,0.0009597705,0.0001102606,0.001099938,0.002970115,0.05789195,0.01624533,0.1842802,0.4325634,0.2934616],"study_design_scores_gemma":[0.0002313255,0.0004924543,0.002643323,0.000205619,0.00004288303,0.0004475129,0.0004377633,0.07587984,0.005344912,0.03324207,0.8809305,0.0001016593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1105136,0.002920986,0.4298572,0.005517581,0.001056591,0.001607566,0.01695015,0.05357639,0.3779999],"genre_scores_gemma":[0.5239611,0.002363574,0.3124155,0.002201833,0.0002309396,0.002894449,0.01556563,0.006464195,0.1339028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0566706,"threshold_uncertainty_score":0.189582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506172654134692,"score_gpt":0.2782004218525348,"score_spread":0.2631386953111879,"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."}}