{"id":"W4367019309","doi":"10.2139/ssrn.4428263","title":"Make Your Own Luck: The Wage Gains from Starting College in a Bad Economy","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Luck; Wage; Labour economics; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005728659,0.0001020099,0.0001509169,0.0001675896,0.001274731,0.0001393467,0.0005063775,0.00005265671,0.000179653],"category_scores_gemma":[0.0006586122,0.00007663011,0.00007071661,0.0009548127,0.0001752876,0.000165028,0.00007965013,0.001407181,0.0001896182],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588654,"about_ca_system_score_gemma":0.005821309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004343382,"about_ca_topic_score_gemma":0.1110072,"domain_scores_codex":[0.9962288,0.0005128834,0.0002784968,0.0001837721,0.0003325843,0.002463494],"domain_scores_gemma":[0.9990558,0.000469047,0.0001172173,0.0001423654,0.0001102127,0.0001053715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006951032,0.0002040671,0.1759991,0.000006744994,0.0005180832,0.00004921472,0.1079464,0.0001503593,0.0001856057,0.6570874,0.02926039,0.02852317],"study_design_scores_gemma":[0.0006295613,0.00006367775,0.04233461,0.0000261883,0.00001403825,0.000003255273,0.3192368,0.00009755595,0.00001372733,0.3909367,0.2464301,0.0002136901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.918798,0.001309449,0.00003158553,0.05988077,0.0002939453,0.0002874027,0.00001648902,0.0000596491,0.0193227],"genre_scores_gemma":[0.9817361,0.003148905,0.00001510222,0.0002555134,0.0007515189,0.00003498399,0.000003019064,0.00001359055,0.01404124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2661507,"threshold_uncertainty_score":0.9998147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03449512414367763,"score_gpt":0.3743665252794883,"score_spread":0.3398714011358107,"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."}}