{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000682336,0.0001527398,0.0001722225,0.00001755952,0.001140581,0.0001115692,0.0003397559,0.00009299718,0.00006002883],"category_scores_gemma":[0.00009019441,0.00009300476,0.0002139781,0.00007555205,0.0002345158,0.0001379606,0.00015311,0.0002711983,0.000009258312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003859516,"about_ca_system_score_gemma":0.000006671382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008017221,"about_ca_topic_score_gemma":0.00001588878,"domain_scores_codex":[0.9990533,0.00001946877,0.0003657532,0.0002163196,0.00009955443,0.0002456012],"domain_scores_gemma":[0.9990832,0.0002109144,0.0003862066,0.0001146886,0.0001513668,0.00005365785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001473923,0.0001846051,0.2225147,0.0001714678,0.0005665363,3.961399e-8,0.1574512,0.00001493838,0.02254072,0.3904466,0.2014457,0.004516157],"study_design_scores_gemma":[0.001167373,0.0001476428,0.4674966,0.0001707991,0.00009848832,0.000008331484,0.1003013,0.0005070026,0.007643031,0.004136157,0.4177034,0.0006198832],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748917,0.00006018011,0.000004743862,0.000493052,0.0005423461,0.000115048,0.000009868452,0.00004991145,0.02383316],"genre_scores_gemma":[0.9955785,0.00001939452,0.00009177774,0.0002740801,0.0001939901,0.000008707081,0.000001382936,0.00001917222,0.003812949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3863104,"threshold_uncertainty_score":0.8772546,"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."}}