{"id":"W3045565596","doi":"10.5465/ambpp.2020.18523symposium","title":"Human Energy in the Context of Work-Nonwork Interface: A Look at the Everyday","year":2020,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Technostress in Professional Settings","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Queen's University","funders":"","keywords":"Context (archaeology); Work (physics); Conversation; Public relations; Everyday life; Energy (signal processing); Sociology; Psychology; Stressor; Social psychology; Political science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001770546,0.000540303,0.0005295582,0.001183407,0.005544246,0.0114521,0.0009845927,0.002775465,0.005285902],"category_scores_gemma":[0.001612799,0.0002917843,0.0007765578,0.001019955,0.01038259,0.007940913,0.007252618,0.003987058,0.0007938502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001870527,"about_ca_system_score_gemma":0.001681978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002052244,"about_ca_topic_score_gemma":0.004356545,"domain_scores_codex":[0.9984163,0.0008984922,0.0000404058,0.0001622771,0.0002338289,0.0002487349],"domain_scores_gemma":[0.9985477,0.0008172381,0.00008234824,0.0001140549,0.0001799823,0.0002585992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001563172,0.0001893853,0.00999489,0.002429744,0.00008067563,0.002571973,0.6206256,0.0005115363,0.00724343,0.1976465,0.04716873,0.1113812],"study_design_scores_gemma":[0.000007389237,0.0001937031,0.01337554,0.001494462,0.00005203399,0.001318474,0.3643416,0.0002697119,0.001215133,0.03361579,0.5840418,0.0000744209],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3362457,0.155419,0.03634185,0.1526801,0.02354721,0.0001677425,0.000275793,0.0003185752,0.2950041],"genre_scores_gemma":[0.9037536,0.04140286,0.006805643,0.01403983,0.00443474,0.0001251667,0.0001082866,0.0002289002,0.02910094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0114521,"threshold_uncertainty_score":0.01768309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03406915285863342,"score_gpt":0.3301899424126782,"score_spread":0.2961207895540448,"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."}}