{"id":"W108349436","doi":"10.4018/978-1-930708-42-6.ch018","title":"Are Remote and Non-Remote Workers Different? Exploring the Impact of Trust, Work Experience and Connectivity on Performance Outcomes","year":2002,"lang":"en","type":"book-chapter","venue":"Advances in end user computing series/Advances in end user computing (AEUC) book series","topic":"Technostress in Professional Settings","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Competence (human resources); Perception; Work (physics); Job satisfaction; Business; Interpersonal communication; Psychology; Information technology; Affect (linguistics); Knowledge management; Public relations; Social psychology; Computer science; Engineering; Political science","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":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0007384819,0.001917635,0.002479926,0.0008508239,0.0008164071,0.0001495379,0.001382041,0.0006375009,0.0001340311],"category_scores_gemma":[0.0003283488,0.001529777,0.0003548997,0.0005869818,0.002225077,0.00331696,0.001433261,0.00285645,0.000008334378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004626969,"about_ca_system_score_gemma":0.00005568488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001352362,"about_ca_topic_score_gemma":0.0001627451,"domain_scores_codex":[0.9928906,0.000305206,0.002063175,0.002222148,0.0009207291,0.001598153],"domain_scores_gemma":[0.992682,0.002702895,0.002592607,0.001630123,0.0001672749,0.0002250892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001816447,0.0002055959,0.6970552,0.0007966755,0.0003157228,0.0002579097,0.0189902,0.01327888,0.00001367963,0.01113574,0.00007550231,0.2560585],"study_design_scores_gemma":[0.004209044,0.001583532,0.8866404,0.0245993,0.0001459342,0.0002804472,0.008514994,0.002110988,0.000452967,0.006673386,0.06027049,0.004518574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9589016,0.01787062,0.0002852821,0.000210166,0.003139049,0.001253187,0.0000616628,0.000362249,0.01791612],"genre_scores_gemma":[0.9714938,0.01521734,0.003037646,0.0001946177,0.000374384,0.0000299072,0.00001810495,0.0002907427,0.009343429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2515399,"threshold_uncertainty_score":0.999444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02858817840974771,"score_gpt":0.3189594034658965,"score_spread":0.2903712250561488,"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."}}