{"id":"W2303853284","doi":"10.15185/izawol.247","title":"Age at school entry: How old is old enough?","year":2016,"lang":"en","type":"article","venue":"IZA World of Labor","topic":"School Choice and Performance","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Affect (linguistics); Workforce; Demographic economics; Business; Labour economics; Economics; Psychology; Economic growth; Accounting","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001367935,0.0001514258,0.0005104471,0.00103391,0.0008828717,0.002592579,0.0004106718,0.0009471759,0.006176902],"category_scores_gemma":[0.008807337,0.0001393141,0.000285133,0.001103067,0.001300147,0.00306235,0.001046763,0.002251406,0.001160242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000977267,"about_ca_system_score_gemma":0.0009189095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01736878,"about_ca_topic_score_gemma":0.02642026,"domain_scores_codex":[0.9994784,0.0001363391,0.00003923041,0.00007670598,0.0001097246,0.0001596487],"domain_scores_gemma":[0.9949796,0.0008343582,0.000963649,0.0001215802,0.0008962726,0.002204699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002198816,0.0002807986,0.8084196,0.000257034,0.00007033737,0.0004559136,0.00926272,0.00007423873,0.0001824628,0.007811051,0.03477762,0.1381883],"study_design_scores_gemma":[0.00001408599,0.000167165,0.9093806,0.001075581,0.0000801557,0.0004794975,0.02784311,0.0001205193,0.0001305122,0.01373005,0.046937,0.00004160375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7922804,0.04217975,0.0006627092,0.1184393,0.002232358,0.00003491754,0.001987082,0.00002971082,0.04215365],"genre_scores_gemma":[0.9771577,0.0114243,0.0001460312,0.003432723,0.0009398935,0.00001339008,0.0006990863,0.00001791592,0.006168923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01736878,"threshold_uncertainty_score":0.03453541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033405954985115,"score_gpt":0.2901561438441954,"score_spread":0.2698220842943442,"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."}}