{"id":"W4381946654","doi":"10.1016/j.diggeo.2023.100063","title":"The gig economy in Chile: Examining labor conditions and the nature of gig work in a Global South country","year":2023,"lang":"en","type":"article","venue":"Digital Geography and Society","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Nacional de Investigación y Desarrollo; Wissenschaftszentrum Berlin für Sozialforschung; University of Cape Town; Centro de Estudios de Conflicto y Cohesión Social; International Development Research Centre","keywords":"Gig economy; Sharing economy; Context (archaeology); Precarity; Work (physics); Business; Precarious work; Political science; Engineering; Geography; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001063185,0.0001602378,0.0002615247,0.001390054,0.003567764,0.002956009,0.0005586288,0.000634321,0.004233505],"category_scores_gemma":[0.002156066,0.0001801573,0.0001404449,0.002040642,0.003047355,0.001647885,0.004501065,0.0007642038,0.0002754482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003790766,"about_ca_system_score_gemma":0.002861475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04447551,"about_ca_topic_score_gemma":0.06038789,"domain_scores_codex":[0.9993923,0.0002115977,0.00002383821,0.00005843317,0.00006884493,0.0002450472],"domain_scores_gemma":[0.9988807,0.0004263648,0.0002726526,0.00004591869,0.0001134463,0.0002608713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008984997,0.000301888,0.4435074,0.0003354857,0.00001806977,0.001938657,0.5256842,0.0001984762,0.0009810058,0.00708603,0.002006187,0.01785272],"study_design_scores_gemma":[0.000003980796,0.00004012792,0.1861392,0.0001301699,0.000003492619,0.00007683285,0.8068997,0.0000775106,0.00007728909,0.0005067273,0.006033275,0.00001170124],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99404,0.0001831179,0.0000371385,0.0006867642,0.000005408272,0.0000129388,0.00007533794,0.000001036539,0.004958201],"genre_scores_gemma":[0.9981598,0.0002828717,0.00004740884,0.00009657791,0.000006407657,0.0000264904,0.00005540304,0.000002005485,0.001323024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04447551,"threshold_uncertainty_score":0.08843333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00523677028748942,"score_gpt":0.2257465255956786,"score_spread":0.2205097553081892,"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."}}