{"id":"W3186410873","doi":"10.2139/ssrn.3121989","title":"Le travail temps partiel en France: Une tude des volutions rrcentes basse sur les flux (The Dynamics of Part-time Employment in France: An Examination Based on Worker Flows)","year":2017,"lang":"fr","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Art","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":[0.002807349,0.000685706,0.0005902866,0.00341687,0.002689188,0.007375228,0.0007206828,0.002338874,0.00597678],"category_scores_gemma":[0.004750869,0.0003357372,0.001123836,0.004763405,0.00168359,0.00484261,0.001540807,0.002200469,0.0006791661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006397238,"about_ca_system_score_gemma":0.003322499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3300835,"about_ca_topic_score_gemma":0.2374229,"domain_scores_codex":[0.9981018,0.0007206062,0.00007239086,0.0003646591,0.0003367186,0.0004039599],"domain_scores_gemma":[0.996329,0.001726665,0.0009350151,0.0001628359,0.0004261306,0.00042039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001429702,0.0008333035,0.4706116,0.0007674079,0.000977395,0.002428543,0.05791328,0.01252187,0.00369413,0.1436489,0.0163032,0.2888707],"study_design_scores_gemma":[0.00004592663,0.000208799,0.8952971,0.0004470269,0.00007975141,0.0004729217,0.01091904,0.002604799,0.0003949845,0.003554968,0.08587098,0.0001037397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525454,0.0199908,0.002421592,0.005755652,0.000158068,0.00002329362,0.001550672,0.00006737585,0.01748711],"genre_scores_gemma":[0.9789236,0.008129241,0.001038386,0.0004128522,0.0003133774,0.00003555509,0.0007372887,0.00004109378,0.01036863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3300835,"threshold_uncertainty_score":0.6563245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354332531270851,"score_gpt":0.2270650040767798,"score_spread":0.2135216787640713,"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."}}