{"id":"W2006128255","doi":"10.1111/j.1475-4932.2008.00486.x","title":"The Impact of Lifecycle Events on Women's Labour Force Transitions: A Panel Analysis*","year":2008,"lang":"en","type":"article","venue":"Economic Record","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Earnings; Panel data; Economics; Childbirth; Labour economics; Demographic economics; Econometrics; Pregnancy; Finance","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":[0.0004523855,0.0001006738,0.0002322536,0.00009652194,0.0005365878,0.00001964724,0.0002418185,0.00006775813,0.0002394739],"category_scores_gemma":[0.00003124692,0.00007899291,0.000286124,0.0002481459,0.0001293372,0.0001124091,0.00001048849,0.00008508006,0.00008068283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004123355,"about_ca_system_score_gemma":0.0002797048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004316621,"about_ca_topic_score_gemma":0.002850272,"domain_scores_codex":[0.9989958,0.0001319763,0.0002715488,0.0001798344,0.00009061641,0.0003301764],"domain_scores_gemma":[0.9993083,0.0001627032,0.0001435651,0.0002434045,0.00002645644,0.0001155243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001911365,0.0002688997,0.8911443,0.000008138843,0.001840016,0.000004725712,0.05805638,0.01726472,0.00004873551,0.02368115,0.001539725,0.005952047],"study_design_scores_gemma":[0.0003733244,0.0001641454,0.9777828,0.000004072894,0.00004145203,7.095143e-7,0.008878727,0.002040061,0.000002090472,0.007842878,0.002700373,0.0001692936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913777,0.00003043583,0.0001246739,0.0002242851,0.0002651572,0.0001456352,0.00006790413,0.00002275673,0.007741419],"genre_scores_gemma":[0.9945174,0.0008449836,0.00005190393,0.00006602122,0.0001109554,0.00002119504,0.000006073873,0.000008815966,0.004372647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08663855,"threshold_uncertainty_score":0.6525468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02763213491940808,"score_gpt":0.2863440853904761,"score_spread":0.258711950471068,"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."}}