{"id":"W4379527327","doi":"10.2139/ssrn.4471026","title":"Compensation Guarantees in Crowdsourced Delivery: Impact on Platform and Driver Welfare","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Toronto Metropolitan University","funders":"","keywords":"Compensation (psychology); Welfare; Business; Crowdsourcing; Computer science; Economics; World Wide Web; Psychology; Market economy; Social psychology","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":[0.008851851,0.001038885,0.001476543,0.001001017,0.001650563,0.003513973,0.002919898,0.003574158,0.01746565],"category_scores_gemma":[0.03700475,0.0005799411,0.0008626264,0.001154855,0.001277731,0.003618631,0.003844665,0.003017208,0.002023988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0023903,"about_ca_system_score_gemma":0.00438977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007634598,"about_ca_topic_score_gemma":0.004715868,"domain_scores_codex":[0.9955753,0.001556054,0.000142775,0.0006807938,0.001188103,0.0008569415],"domain_scores_gemma":[0.9702916,0.0179512,0.003294848,0.0030941,0.003333358,0.002035067],"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":[0.01250768,0.002718186,0.03662822,0.001044587,0.0004445881,0.0009330336,0.001602062,0.4534873,0.007371671,0.141799,0.03661402,0.3048497],"study_design_scores_gemma":[0.001345626,0.003093601,0.04026451,0.0004853251,0.0005008178,0.0004834341,0.003719649,0.7223063,0.005573036,0.202907,0.01905668,0.0002640222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7702267,0.002391763,0.1680747,0.007906326,0.001263889,0.0004957687,0.002120767,0.001546922,0.04597319],"genre_scores_gemma":[0.9914799,0.0001273034,0.002733097,0.0001343555,0.000110101,0.000056203,0.0001553411,0.00003869759,0.00516492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01746565,"threshold_uncertainty_score":0.05842841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492446184150832,"score_gpt":0.2503988036801041,"score_spread":0.2354743418385958,"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."}}