{"id":"W4389212682","doi":"10.54394/khet8772","title":"Digital labour platforms and national employment policies in China","year":2023,"lang":"en","type":"book","venue":"ILO eBooks","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"International Labour Organization; International Development Research Centre","keywords":"China; Business; Food delivery; Labour economics; Economics; Commerce; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007493889,0.0001932423,0.0001578262,0.001417928,0.002496775,0.00252208,0.0005201629,0.0005539736,0.004286413],"category_scores_gemma":[0.000789942,0.0001225255,0.0001882494,0.002818971,0.001674419,0.001808637,0.002543829,0.000501751,0.0002755706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008790153,"about_ca_system_score_gemma":0.01213981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09081548,"about_ca_topic_score_gemma":0.09995406,"domain_scores_codex":[0.9994429,0.00005574441,0.00003153647,0.00005725791,0.0001699618,0.0002425268],"domain_scores_gemma":[0.9997494,0.00004357595,0.00005468736,0.00002260585,0.00005475019,0.00007504017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000210588,0.0002054842,0.1021228,0.0009590107,0.00006488548,0.001542314,0.01879013,0.01213686,0.003483735,0.5121726,0.02274174,0.3255698],"study_design_scores_gemma":[0.00005460133,0.0002384779,0.4273221,0.000772412,0.0000630943,0.0002603433,0.02267164,0.01696072,0.003736963,0.05082076,0.47697,0.0001289982],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8477049,0.007539764,0.001066525,0.007851416,0.0001632062,0.00006325324,0.000467494,0.0001300472,0.1350134],"genre_scores_gemma":[0.9725623,0.002915728,0.0003404465,0.0003280699,0.00002972416,0.00003629454,0.0001866305,0.00001058344,0.02359031],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09081548,"threshold_uncertainty_score":0.1805738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083545319642731,"score_gpt":0.2671353060185994,"score_spread":0.246299852822172,"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."}}