{"id":"W4390806639","doi":"10.3390/ijerph21010086","title":"Time-Based Stress and Procedural Justice: Can Transparency Mitigate the Effects of Algorithmic Compensation in Gig Work?","year":2024,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Transparency (behavior); Remuneration; Compensation (psychology); Perception; Computer science; Economic Justice; Work (physics); Psychology; Social psychology; Business; Computer security; Microeconomics; Economics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001564702,0.00004667267,0.00008615232,0.0002084177,0.0001189368,0.0001725233,0.0001587428,0.00003656697,0.00006071704],"category_scores_gemma":[0.00009880452,0.00003553027,0.00002316315,0.0001334945,0.0004156349,0.0004637915,0.00001184978,0.0002828937,0.000002772446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002267918,"about_ca_system_score_gemma":0.0004392172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001541531,"about_ca_topic_score_gemma":0.0002100122,"domain_scores_codex":[0.9986965,0.0002095724,0.0002787029,0.00007533837,0.0005485755,0.0001913225],"domain_scores_gemma":[0.9992219,0.0004956713,0.00006852892,0.00002649951,0.00003618154,0.0001512778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001821126,0.0006144606,0.01113474,0.0006450464,0.0001087502,0.00004289447,0.02848076,0.00005823543,0.00009657015,0.007127461,0.0004933762,0.9510156],"study_design_scores_gemma":[0.01047135,0.007918781,0.6901881,0.01183127,0.00007642716,0.000128768,0.07122009,0.01190765,0.001380969,0.02457818,0.1692523,0.001046092],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440662,0.001585915,0.000126293,0.05286738,0.0001644539,0.0002777494,0.00004896937,0.000003710062,0.0008593524],"genre_scores_gemma":[0.997995,0.001627706,0.00002930917,0.0001582925,0.00008410333,0.000005102073,0.00001189559,0.000003294355,0.00008528792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9499695,"threshold_uncertainty_score":0.1663647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03075118266868355,"score_gpt":0.3455372837522271,"score_spread":0.3147861010835436,"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."}}