{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001777557,0.00007091156,0.0002433295,0.0008796976,0.00012802,0.00004442886,0.0001850211,0.00007913444,0.00003298244],"category_scores_gemma":[0.0001488394,0.00006614818,0.00007989199,0.001224971,0.0001464526,0.0001393812,0.00003886546,0.0001863666,0.000003565657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008381088,"about_ca_system_score_gemma":0.0001404768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002825052,"about_ca_topic_score_gemma":0.00001467195,"domain_scores_codex":[0.9990046,0.00005261227,0.0005292529,0.00009551953,0.0001922984,0.0001257337],"domain_scores_gemma":[0.9987808,0.000222776,0.0006488234,0.00008627575,0.000179409,0.00008187235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002291498,0.0008217524,0.1689472,0.0004518688,0.0005601949,0.00001003429,0.01181144,0.003064005,0.001154488,0.7231975,0.00678112,0.08297129],"study_design_scores_gemma":[0.003767157,0.0004739278,0.7339394,0.0002730423,0.00036139,0.00000796577,0.07614975,0.001614316,0.0005470643,0.06525828,0.117004,0.0006037073],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.850921,0.000511553,0.001530157,0.000365375,0.0004788128,0.00009729332,0.00001793315,0.000004378807,0.1460735],"genre_scores_gemma":[0.9967135,0.001511944,0.001052735,0.00004544972,0.0001755053,3.362979e-7,0.000001861262,0.000006948427,0.0004917029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6579392,"threshold_uncertainty_score":0.2697445,"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."}}