{"id":"W7097003401","doi":"","title":"NBER WORKING PAPER SERIES SUBSIDIZING THE STORK: NEW EVIDENCE ON TAX INCENTIVES AND FERTILITY","year":2002,"lang":"en","type":"article","venue":"","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Incentive; Fertility; Population; Control (management); Tax incentive; Earned income tax credit; Tax policy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008856446,0.000391518,0.001367653,0.002191145,0.001499344,0.002474616,0.001532753,0.001537368,0.01777226],"category_scores_gemma":[0.03399715,0.0003595604,0.0008167283,0.006021421,0.001478536,0.001126268,0.0009741324,0.001672696,0.001899365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006037667,"about_ca_system_score_gemma":0.007051565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6638095,"about_ca_topic_score_gemma":0.6760795,"domain_scores_codex":[0.9968503,0.001121553,0.0002227665,0.0003956119,0.001008349,0.00040143],"domain_scores_gemma":[0.9339156,0.03697764,0.01680144,0.004352902,0.006127536,0.001824822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008110272,0.0002485993,0.6195242,0.0008831515,0.001160168,0.0005137833,0.00115598,0.009177058,0.0003906803,0.03263523,0.2311617,0.1023384],"study_design_scores_gemma":[0.0006733822,0.0001378768,0.7428644,0.0007038676,0.001295533,0.0001184587,0.002218301,0.008362355,0.00158368,0.01665896,0.225273,0.0001101339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5063607,0.05826142,0.01499413,0.1105203,0.001408343,0.0007447422,0.1544885,0.0005564745,0.1526653],"genre_scores_gemma":[0.8761659,0.02445189,0.003405823,0.005551166,0.001321066,0.000389815,0.04045826,0.0001974131,0.0480586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6638095,"threshold_uncertainty_score":0.6763408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08301636321954196,"score_gpt":0.2907937757068172,"score_spread":0.2077774124872753,"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."}}