{"id":"W4388522200","doi":"10.2139/ssrn.4601771","title":"From Crisis to Norm: Remote Work Trends and Employee Engagement Across Industries, Occupations, and Geography","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Norm (philosophy); Employee engagement; Economic geography; Work (physics); Geography; Political science; Public relations; Engineering; Mechanical engineering; Law","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":[0.002117547,0.00009710207,0.0002732911,0.001307273,0.001283204,0.003302587,0.000724154,0.0008543261,0.005586579],"category_scores_gemma":[0.008569083,0.000146701,0.0001697301,0.00192543,0.001755698,0.004653917,0.004048739,0.001230572,0.0005501718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007810322,"about_ca_system_score_gemma":0.0009260962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01327294,"about_ca_topic_score_gemma":0.02499984,"domain_scores_codex":[0.9989547,0.000366101,0.00007466327,0.0001698141,0.0001779503,0.0002567893],"domain_scores_gemma":[0.9940018,0.001956632,0.001590274,0.0003413795,0.0006630328,0.00144688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003705307,0.0001997272,0.9356289,0.00005537261,0.00003437446,0.0001179507,0.04010305,0.0001129684,0.0003869351,0.001663617,0.001565146,0.01976142],"study_design_scores_gemma":[0.000004729568,0.000118736,0.872198,0.00004500579,0.00001133717,0.00006297898,0.1244566,0.0002341688,0.00009946555,0.0009216951,0.001836698,0.00001060448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934582,0.0001888718,0.0001448277,0.001773746,0.00001355994,0.000006965744,0.0001707504,0.000006292209,0.004236765],"genre_scores_gemma":[0.9994661,0.00005491464,0.00003181357,0.00008981765,0.000008002932,0.000005327138,0.00008170264,0.000004055874,0.0002581328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01327294,"threshold_uncertainty_score":0.02639139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054901722959966,"score_gpt":0.3012543523164012,"score_spread":0.2807053350868016,"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."}}