{"id":"W1551079243","doi":"10.3386/w20444","title":"Is the 'Quarter of Birth' Endogenous? Evidence From One Million Siblings in Taiwan","year":2014,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Academia Sinica","keywords":"Quarter (Canadian coin); Demography; Geography; Sociology","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":[0.002399666,0.0001448794,0.0002537639,0.0008218631,0.0004961225,0.0007183134,0.0007108858,0.0004949647,0.002204725],"category_scores_gemma":[0.009131736,0.0002365297,0.0004498734,0.001646777,0.0004950117,0.0004795721,0.001206529,0.0005993327,0.0002760784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006054657,"about_ca_system_score_gemma":0.0006954395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07205892,"about_ca_topic_score_gemma":0.07590421,"domain_scores_codex":[0.9987984,0.0005059573,0.0001350933,0.0002271966,0.0001457042,0.0001876265],"domain_scores_gemma":[0.990903,0.002624553,0.003887966,0.00124979,0.0006633502,0.0006713796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004198492,0.0000176733,0.9959611,0.0000131351,0.00006092921,0.0001500607,0.0007092443,0.00004618711,0.0000432181,0.0002208627,0.0002861495,0.002449337],"study_design_scores_gemma":[0.0000077538,0.00003066684,0.9962485,0.00003255773,0.00006734142,0.0001472785,0.001996208,0.0002169084,0.0001340926,0.0001752305,0.00093804,0.00000558546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997533,0.000397048,0.0001499274,0.0003465906,0.000006463214,0.000006100573,0.0007979574,0.000002620983,0.0007603205],"genre_scores_gemma":[0.9984838,0.0002766853,0.00008445073,0.00008678997,0.000007483394,0.000007997873,0.0006603329,0.000002161473,0.0003903207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07205892,"threshold_uncertainty_score":0.143279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.409652580922891,"score_gpt":0.4821694767132272,"score_spread":0.07251689579033627,"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."}}