{"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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005339784,0.0002538153,0.0002635582,0.000476445,0.0001002401,0.00007203281,0.0001495131,0.0002080764,0.000029766],"category_scores_gemma":[0.00001290591,0.0002401474,0.0001106441,0.0002127951,0.00002634077,0.000110855,0.00001973484,0.003005677,0.00001568545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155486,"about_ca_system_score_gemma":0.0003720863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002056475,"about_ca_topic_score_gemma":0.005039847,"domain_scores_codex":[0.9982496,0.00001778279,0.0004093143,0.0001964722,0.0002000245,0.0009268143],"domain_scores_gemma":[0.9996006,0.00003485829,0.00008502774,0.0001625341,0.00006750119,0.00004940359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001824875,0.0001002626,0.02597058,0.0001795361,0.000907167,0.00002672477,0.002684451,0.8645999,0.0006761264,0.08490107,0.0001755368,0.01959616],"study_design_scores_gemma":[0.002210748,0.0002868761,0.8679039,0.0003909172,0.0001018973,0.0001022915,0.002829023,0.03237062,0.0001162593,0.09228693,0.0005426798,0.0008578875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996251,0.0003306931,0.002125304,0.0003893129,0.0002843448,0.0002367324,0.00004601335,0.0001937274,0.0001428898],"genre_scores_gemma":[0.9972825,0.00229566,0.00003420121,0.00001966896,0.00007595532,0.00001494487,0.0001504093,0.00004889134,0.00007774792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8419333,"threshold_uncertainty_score":0.9992944,"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."}}