{"id":"W2973831239","doi":"10.1109/syscon.2019.8836889","title":"Measuring the dynamic engagement with a system of equations – Theory demonstration and initial analysis","year":2019,"lang":"en","type":"article","venue":"2019 IEEE International Systems Conference (SysCon)","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Work engagement; Measure (data warehouse); Employee engagement; Work (physics); Process (computing); Resource (disambiguation); Overtime; Industrial engineering; Engineering; Data mining; Economics","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":[0.001673296,0.0005761011,0.0004900171,0.0004817143,0.0003822935,0.001252818,0.0006752923,0.001093116,0.003180834],"category_scores_gemma":[0.005446074,0.0002642346,0.0009150695,0.0003821178,0.0006870732,0.0009809737,0.001329378,0.001515897,0.0003863565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007098212,"about_ca_system_score_gemma":0.0009999569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004969502,"about_ca_topic_score_gemma":0.002211473,"domain_scores_codex":[0.9990313,0.0004406366,0.00006670295,0.000138239,0.0002583302,0.00006479157],"domain_scores_gemma":[0.9969381,0.00223323,0.000166281,0.000138393,0.0004814245,0.00004256612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001240977,0.0005336594,0.01858418,0.0009372231,0.0001686094,0.0004055501,0.002209475,0.6432936,0.01172259,0.2163139,0.002732509,0.1029746],"study_design_scores_gemma":[0.0000108937,0.0001212432,0.001831897,0.00005164604,0.00002251571,0.00003030433,0.0001599164,0.9798791,0.001208629,0.01432267,0.002342198,0.00001885991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07605021,0.0005706811,0.9090389,0.0007553692,0.00008873849,0.000257492,0.000173085,0.0001948412,0.01287074],"genre_scores_gemma":[0.8272606,0.0009809595,0.1652265,0.0001222465,0.00008297215,0.0006815364,0.0002111698,0.00003569242,0.005398335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004969502,"threshold_uncertainty_score":0.01064092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0293128405649871,"score_gpt":0.2519592890901232,"score_spread":0.2226464485251361,"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."}}