{"id":"W2765394349","doi":"10.7202/1041092ar","title":"Zone grise d’emploi, pouvoir de l’employeur et espace public : une illustration à partir du cas Uber","year":2017,"lang":"fr","type":"article","venue":"Relations industrielles","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001251461,0.0002980748,0.000311042,0.0001368016,0.004516931,0.0009621834,0.0005712894,0.0007994687,0.00140161],"category_scores_gemma":[0.0015384,0.0003011249,0.000166263,0.0007109871,0.001077711,0.001835411,0.0001686081,0.0008202196,0.0002067389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004052425,"about_ca_system_score_gemma":0.001376467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02474994,"about_ca_topic_score_gemma":0.03864322,"domain_scores_codex":[0.9972362,0.0005548428,0.0005175451,0.0004255131,0.0005167334,0.0007491584],"domain_scores_gemma":[0.9975608,0.0003653295,0.0005638129,0.0007515918,0.0003446888,0.0004138007],"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":[0.00001256711,0.0003904788,0.08531423,0.000001556852,0.0001347368,0.00001999189,0.01156671,0.0005264773,0.00002068629,0.826527,0.05678762,0.01869798],"study_design_scores_gemma":[0.0009781974,0.00005981772,0.1694054,0.00007224581,0.0001610664,0.000005464834,0.006246794,0.0004455847,0.00004273548,0.002112617,0.8201338,0.0003362688],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5691654,0.0007062114,0.001715975,0.3768004,0.001427562,0.0005038528,0.0001261858,0.0001002144,0.04945426],"genre_scores_gemma":[0.8643585,0.00141317,0.0003603963,0.0004948842,0.0008981058,0.00004841746,0.0000585576,0.00003547657,0.1323325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8244144,"threshold_uncertainty_score":0.9999441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05887719209062033,"score_gpt":0.3138755982546967,"score_spread":0.2549984061640764,"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."}}