{"id":"W3123001541","doi":"","title":"Using Alsace-Moselle Local Laws to Build a Difference-in-Differences Estimation Strategy of the Employment Effects of the 35-Hour Workweek Regulation in France","year":2009,"lang":"en","type":"preprint","venue":"SPIRE (Sciences Po)","topic":"European Socioeconomic and Political Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Rest (music); Estimation; Identification (biology); Significant difference; Economics; Difference in differences; Labour economics; Demographic economics; Management; Statistics; Econometrics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005987991,0.0002244891,0.0006144772,0.0001348299,0.0001395024,0.00004826575,0.0007513185,0.0001341365,0.00001931985],"category_scores_gemma":[0.000120529,0.0001606052,0.0001524979,0.000400102,0.0005508803,0.00007061654,0.0003869155,0.000283258,0.000008142179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001781633,"about_ca_system_score_gemma":0.00008688212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002184956,"about_ca_topic_score_gemma":0.000407811,"domain_scores_codex":[0.9980814,0.0001063916,0.0008723779,0.0004957586,0.0001118608,0.0003321663],"domain_scores_gemma":[0.9987582,0.000160003,0.0006517525,0.0003643964,0.00002271077,0.00004294525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001333333,0.000220853,0.7552246,0.0003227312,0.0000319807,9.476627e-7,0.003362435,0.1340337,0.00005153177,0.08801281,0.00004391476,0.01868116],"study_design_scores_gemma":[0.000201022,0.00008047838,0.8899051,0.0006899863,0.000007513806,2.412661e-7,0.0001468927,0.01710917,0.0003601822,0.0912615,0.00004292926,0.0001950183],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905192,0.001554938,0.003288901,0.0006219587,0.0005350427,0.0006084527,0.00003029006,0.000007617839,0.002833547],"genre_scores_gemma":[0.9988751,0.00009560768,0.0005387809,0.0001502347,0.0000492678,0.00001638208,7.647527e-7,0.000009233058,0.000264659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1346804,"threshold_uncertainty_score":0.654929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05997483333436048,"score_gpt":0.2839764763484301,"score_spread":0.2240016430140696,"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."}}