{"id":"W4415732377","doi":"10.1002/jae.70020","title":"Your Season of Birth Tells much of you and your Background European Edition","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Identification (biology); European union; Season of birth","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":[0.0009093058,0.0001553089,0.0003122667,0.001416575,0.0005975984,0.001816561,0.0002976044,0.0002836364,0.05907188],"category_scores_gemma":[0.00579322,0.0001051898,0.0002468958,0.002700883,0.0002727807,0.0009651597,0.0006088716,0.0007442452,0.01093316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004079006,"about_ca_system_score_gemma":0.0005633133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01013454,"about_ca_topic_score_gemma":0.01118625,"domain_scores_codex":[0.9997035,0.00007594527,0.00002667334,0.00004337891,0.00008375192,0.00006676119],"domain_scores_gemma":[0.9977759,0.0006749025,0.0004553687,0.0002340893,0.0005421813,0.0003176566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006159533,0.0001288333,0.1347508,0.0005660122,0.0001277234,0.0003203193,0.002565463,0.0004252213,0.001182704,0.02820946,0.5981309,0.2329766],"study_design_scores_gemma":[0.0000187507,0.00008158398,0.3371577,0.0004169389,0.00004083366,0.0002536616,0.002605498,0.0001957849,0.0004986267,0.003811666,0.6548848,0.00003414707],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2790967,0.01652189,0.00677373,0.04909414,0.01493303,0.0001534922,0.1131428,0.0004611457,0.5198231],"genre_scores_gemma":[0.6443651,0.01496989,0.005050102,0.004713866,0.003543969,0.0001434662,0.0347558,0.0005455541,0.2919123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05907188,"threshold_uncertainty_score":0.1976151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05210222517437211,"score_gpt":0.289634075513241,"score_spread":0.2375318503388689,"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."}}