{"id":"W3029651051","doi":"10.1142/s0219622020500224","title":"Improving Human Performance in Dynamic Tasks with Debriefing-Based Interactive Learning Environments: An Empirical Investigation","year":2020,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Debriefing; Heuristics; Task (project management); Computer science; Dynamic decision-making; Process (computing); Knowledge management; Empirical research; Process management; Psychology; Artificial intelligence; Social psychology","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":[0.002164375,0.0002394745,0.000456315,0.002944658,0.0002049391,0.0006018392,0.001672257,0.0001971562,0.0001291697],"category_scores_gemma":[0.004701384,0.0001821106,0.0001172144,0.001266396,0.0001465962,0.004517126,0.0002991715,0.0009340164,0.00007275675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003601981,"about_ca_system_score_gemma":0.0001784508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005119509,"about_ca_topic_score_gemma":0.00002260702,"domain_scores_codex":[0.9942237,0.0001757457,0.002479628,0.0003251535,0.002547269,0.0002485344],"domain_scores_gemma":[0.9948324,0.000853111,0.002889278,0.0002970863,0.0009961728,0.0001319714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001111679,0.0000719899,0.1915893,0.000007506729,0.00004786661,0.00009138692,0.002670788,0.1743389,0.00218029,0.0006083053,0.0001544647,0.6271276],"study_design_scores_gemma":[0.003309864,0.00139015,0.1063027,0.000785986,0.00001688099,0.0003985846,0.00576559,0.8610615,0.001119102,0.01154509,0.00787516,0.0004293806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5663126,0.00002802692,0.4323112,0.0009171849,0.0001889459,0.0001031776,0.000002215519,0.00003218981,0.0001044194],"genre_scores_gemma":[0.9713634,0.000002324508,0.02736677,0.001172593,0.0000622015,0.000006496505,0.000005283615,0.00001460506,0.000006379754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6867226,"threshold_uncertainty_score":0.7426254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03816234864675358,"score_gpt":0.3655419122086459,"score_spread":0.3273795635618924,"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."}}