{"id":"W2507141217","doi":"10.1002/dap.30229","title":"Predict your enrollment spikes and declines using state and federal employment data","year":2016,"lang":"en","type":"article","venue":"Dean and Provost","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Revenue; State (computer science); Institution; San Joaquin; Plan (archaeology); Political science; Higher education; Enrollment management; Public administration; Economics; Business; Management; Economic growth; Finance; Computer science; 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":[0.0005004417,0.00007026792,0.00009055717,0.00002753599,0.0005409046,0.0001595732,0.00009619592,0.00001928574,0.00003476917],"category_scores_gemma":[0.000150564,0.00004530375,0.000005441039,0.00004791557,0.0003370621,0.0002185309,0.0002143098,0.0000316392,0.000003176063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002329404,"about_ca_system_score_gemma":0.00009609049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001237839,"about_ca_topic_score_gemma":0.00154748,"domain_scores_codex":[0.999164,0.00009008142,0.0001028601,0.0002303254,0.0001994986,0.0002132301],"domain_scores_gemma":[0.9995356,0.0001183325,0.00003249498,0.0001231854,0.00004640267,0.0001439938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003611188,0.00005446487,0.8950969,0.00003722241,0.00004788982,0.000004936552,0.01306667,1.045543e-7,0.0007401553,0.0009697066,0.00510024,0.08484559],"study_design_scores_gemma":[0.001186713,0.0001724993,0.4244008,0.0001372341,0.00002731401,0.000004173784,0.006536067,0.00006423821,0.0002062799,0.001835695,0.5651092,0.0003198064],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891025,0.001670769,0.00005993175,0.007971881,0.00009514888,0.0002803698,0.0000783553,0.00001814263,0.0007229258],"genre_scores_gemma":[0.9913146,0.003933219,0.0005818339,0.0001357398,0.0001887428,0.000009203091,0.000004090286,0.000006269821,0.003826263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5600089,"threshold_uncertainty_score":0.4160256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1436669499514871,"score_gpt":0.4399808349326672,"score_spread":0.2963138849811801,"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."}}