{"id":"W3010194635","doi":"","title":"Minimalism at Work: An Experiential Exercise for Putting Work in Perspective","year":2021,"lang":"en","type":"article","venue":"Developments in Business Simulation and Experiential Learning: Proceedings of the Annual ABSEL conference","topic":"Service and Product Innovation","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Minimalism (technical communication); Perspective (graphical); Experiential learning; Work (physics); Aesthetics; Sociology; Multimedia; Computer science; Engineering ethics; Human–computer interaction; Engineering; Art; Artificial intelligence; Pedagogy; Mechanical engineering","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":[0.0003682006,0.0002248106,0.0002819127,0.0002952734,0.0002636567,0.0003020767,0.0002417581,0.0001224057,0.00006995219],"category_scores_gemma":[0.0005320468,0.0002120384,0.00003685223,0.002062067,0.00007814892,0.001788799,0.0003986294,0.0001552628,0.000003550615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007017197,"about_ca_system_score_gemma":0.00006291312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009528457,"about_ca_topic_score_gemma":0.00002100703,"domain_scores_codex":[0.9983346,0.000008652103,0.0005035404,0.0005415432,0.0003006386,0.0003110661],"domain_scores_gemma":[0.9967964,0.00003144659,0.0003880557,0.00009607968,0.002671865,0.00001616993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004325543,0.0008611887,0.7296853,0.001084322,0.00006639121,0.000007532031,0.1744997,0.01627861,0.009217381,0.03937291,0.0005801786,0.02402089],"study_design_scores_gemma":[0.004099305,0.00002630392,0.8280305,0.001606727,0.00005323094,0.00000306726,0.1123576,0.008670015,0.004716812,0.002988727,0.03632857,0.001119088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969333,0.00006237622,0.00007403697,0.0009393524,0.0005388009,0.0004038223,0.000001318273,0.00003896917,0.001008047],"genre_scores_gemma":[0.9977585,0.000009562172,0.0008830542,0.0003178725,0.0002129151,0.00005806074,0.00004880468,0.00002650439,0.0006847118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09834521,"threshold_uncertainty_score":0.8646675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0310210723670932,"score_gpt":0.2773533698819719,"score_spread":0.2463322975148787,"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."}}