{"id":"W4389683831","doi":"10.1002/pam.22553","title":"Grads on the go: Measuring college‐specific labor markets for graduates","year":2023,"lang":"en","type":"article","venue":"Journal of Policy Analysis and Management","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Education Sciences; Russell Sage Foundation","keywords":"Quarter (Canadian coin); Institution; Investment (military); Public institution; Higher education; Demographic economics; Labour economics; Social mobility; Economics; Political science; Business; Economic growth; Geography; Law","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":[0.001620992,0.0001359226,0.0005338102,0.001719127,0.0002069218,0.000123316,0.0002596466,0.00003350647,0.00004650542],"category_scores_gemma":[0.00007305163,0.0001026264,0.0006054789,0.001548491,0.00004004,0.00008809504,0.00006277917,0.00007827024,0.00003937531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008695489,"about_ca_system_score_gemma":0.000008758143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001207663,"about_ca_topic_score_gemma":0.00007973389,"domain_scores_codex":[0.9987012,0.0000228547,0.0007487878,0.0002221336,0.00007745005,0.0002276201],"domain_scores_gemma":[0.9988075,0.0001834532,0.0006354257,0.0002262148,0.00006285038,0.00008459351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005062672,0.00004710803,0.00260954,0.00002506692,0.003621223,0.00000813382,0.00009548658,0.001728976,0.000003107481,0.9701548,0.01994023,0.001715758],"study_design_scores_gemma":[0.001147397,0.0001726444,0.1615759,0.00003849468,0.0007914372,0.000003887661,0.0006115051,0.02629358,0.00004613871,0.2717363,0.5371941,0.0003887101],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7413726,0.00238191,0.009525793,0.2240934,0.0004617863,0.0007005022,0.0005013745,0.00003348539,0.02092916],"genre_scores_gemma":[0.9820172,0.01318662,0.0002748769,0.0008153396,0.0002739928,0.00002322215,0.000007319748,0.00001485755,0.003386616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6984184,"threshold_uncertainty_score":0.4184981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05870171880677879,"score_gpt":0.2459419108262544,"score_spread":0.1872401920194756,"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."}}