{"id":"W4404748985","doi":"10.1080/07352166.2024.2427643","title":"From ride hailing to food hailing: Understanding on-demand food delivery through platform urbanism and urban policy in Canadian cities","year":2024,"lang":"en","type":"article","venue":"Journal of Urban Affairs","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Urbanism; Food delivery; Business; Urban policy; Marketing; Urban planning; Geography; Engineering; Architecture; Civil engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002045278,0.0001898272,0.0002551597,0.0009090472,0.00008506643,0.0001538895,0.0001202594,0.0001072492,0.00002623296],"category_scores_gemma":[0.00004514019,0.0001934171,0.00008440894,0.0005270647,0.00003856573,0.0004634627,0.000006987675,0.0004124551,0.00000490617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009344352,"about_ca_system_score_gemma":0.0003385384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005759486,"about_ca_topic_score_gemma":0.114579,"domain_scores_codex":[0.9987189,0.000009866306,0.0005518723,0.0001592387,0.000213998,0.0003461043],"domain_scores_gemma":[0.9993935,0.0001398596,0.00004755295,0.0001185719,0.00004317629,0.0002573315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001958878,0.0001291499,0.02497742,0.0006988652,0.001852238,0.0005753867,0.1692255,0.1041945,0.004221764,0.647135,0.0452409,0.001553354],"study_design_scores_gemma":[0.011626,0.006298265,0.05945514,0.0110937,0.0008679016,0.0004238771,0.3159269,0.04018927,0.01530028,0.2679929,0.2652134,0.005612281],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833372,0.002628895,0.004184426,0.001552407,0.000938543,0.0001973127,0.0002239898,0.000110224,0.006827053],"genre_scores_gemma":[0.9986792,0.0001009314,0.0005460926,0.0001576625,0.0004135146,0.000003766378,0.00001108079,0.00003914662,0.00004863627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3791421,"threshold_uncertainty_score":0.9015776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03775094512675631,"score_gpt":0.2393852793459648,"score_spread":0.2016343342192085,"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."}}