{"id":"W4405631508","doi":"10.4000/12zin","title":"Sophie Bernard, UberUsés. Le capitalisme racial de plateforme à Paris, Londres et Montréal","year":2024,"lang":"fr","type":"article","venue":"Sociologie du Travail","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002008566,0.0003621869,0.0004544943,0.00007897995,0.0008521361,0.0002991898,0.000443622,0.0009790751,0.001116852],"category_scores_gemma":[0.000237596,0.000360736,0.0004187396,0.0002382548,0.001881708,0.0007964465,0.00009567649,0.0008190392,0.001341176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004350006,"about_ca_system_score_gemma":0.001344153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06988184,"about_ca_topic_score_gemma":0.03804878,"domain_scores_codex":[0.9968061,0.0007407248,0.0005299487,0.0006337891,0.0002707958,0.001018642],"domain_scores_gemma":[0.998762,0.0005355054,0.0001326078,0.0002442585,0.0000608913,0.0002648103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003949862,0.0002380729,0.01424358,0.0001723267,0.0003862137,0.0001574018,0.3668387,0.0004482892,0.0001628391,0.1527013,0.4489332,0.01567853],"study_design_scores_gemma":[0.0008775069,0.0003469891,0.03521242,0.0001559573,0.0002536745,0.0000354345,0.07696445,0.001933666,0.0002867483,0.1058974,0.7767718,0.001263953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6820475,0.230898,0.0004742058,0.056504,0.004464114,0.0003502833,0.0002203458,0.0003738369,0.02466769],"genre_scores_gemma":[0.8569279,0.1086558,0.0002224787,0.0009218105,0.003095382,0.00005290964,0.00008172711,0.00004369352,0.02999828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3278386,"threshold_uncertainty_score":0.9998845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03060398106513083,"score_gpt":0.295052985860892,"score_spread":0.2644490047957611,"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."}}