{"id":"W2564940210","doi":"10.82308/19010","title":"Delays, de-standardization, and the transition to adulthood","year":2016,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Wage; Demographic economics; Economics; Humanities; Labour economics; Art","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":[0.0008633786,0.00007578954,0.0001117615,0.0006256567,0.0005185071,0.0009969363,0.0002048633,0.0001724212,0.002210066],"category_scores_gemma":[0.004804724,0.00007490363,0.0001372059,0.0009905481,0.000661461,0.0007437624,0.0009296595,0.0005056867,0.00012374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639633,"about_ca_system_score_gemma":0.001910109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08376696,"about_ca_topic_score_gemma":0.09220302,"domain_scores_codex":[0.9996141,0.00005630701,0.00003031669,0.00006376988,0.00008624487,0.00014925],"domain_scores_gemma":[0.997996,0.0002911351,0.0009587116,0.0001023637,0.0002215502,0.0004304068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001269302,0.0000627874,0.9296074,0.00003614121,0.00002166196,0.0001804297,0.004118126,0.000772794,0.0002959711,0.02463464,0.0007456398,0.03939744],"study_design_scores_gemma":[0.000003082871,0.00004248853,0.9891853,0.00003242144,0.000008985061,0.00006312854,0.002694282,0.0003978571,0.0001330094,0.003473484,0.003960544,0.000005447033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993509,0.0007321502,0.0002714811,0.0005340712,0.000009179762,0.000007034917,0.0002886048,0.000003842162,0.00464453],"genre_scores_gemma":[0.9987133,0.0003966135,0.00007357751,0.00001800134,0.000007565643,0.000002385826,0.0001148971,0.000001103239,0.0006725867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08376696,"threshold_uncertainty_score":0.1665588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235569517565395,"score_gpt":0.2021327789630646,"score_spread":0.1897770837874107,"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."}}