{"id":"W4365447543","doi":"10.1111/apv.12373","title":"Turf wars: The livelihood and mobility frictions of motorbike taxi drivers on Hanoi's streets","year":2023,"lang":"en","type":"article","venue":"Asia Pacific Viewpoint","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Livelihood; Mobilities; Taxis; Popularity; Vulnerability (computing); Agency (philosophy); Social capital; Capital (architecture); Business; Economic geography; Sociology; Geography; Political science; Transport engineering; Engineering; Social science; Computer security; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008013643,0.0002521528,0.0002254533,0.0005634865,0.00590829,0.002989575,0.0006186724,0.0006741622,0.003099495],"category_scores_gemma":[0.001677731,0.0002960373,0.0001103646,0.0006179069,0.004017621,0.001854243,0.003045952,0.0008892773,0.0002203383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002748288,"about_ca_system_score_gemma":0.001540262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07158795,"about_ca_topic_score_gemma":0.1253329,"domain_scores_codex":[0.9993755,0.0002506496,0.00001600775,0.00005890925,0.00007127068,0.0002277818],"domain_scores_gemma":[0.9994085,0.0001721567,0.0001545753,0.00002800888,0.00008006758,0.0001567299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003459233,0.00002851388,0.05800761,0.00003266433,0.0000082579,0.0009709246,0.9321601,0.00007175686,0.0005489042,0.002134653,0.0006828057,0.005319177],"study_design_scores_gemma":[7.800033e-7,0.00001880224,0.0220913,0.00002181383,0.000002347091,0.0001000949,0.9730862,0.0000913443,0.00006706386,0.0001509131,0.004362267,0.000007177218],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981841,0.00004133936,0.00006091247,0.0001906248,0.000003495829,0.000005941833,0.00001507454,9.924328e-7,0.001497408],"genre_scores_gemma":[0.9987984,0.00006485589,0.00004591,0.00003868289,0.000002046393,0.000008140933,0.00001817701,0.00000206033,0.00102186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07158795,"threshold_uncertainty_score":0.1423425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802510294251482,"score_gpt":0.2568243289794789,"score_spread":0.238799226036964,"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."}}