{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001478278,0.0003733428,0.0003214084,0.002361182,0.0007090633,0.001829997,0.0005127899,0.0004567944,0.001714763],"category_scores_gemma":[0.008181809,0.0002338458,0.0002306791,0.002506732,0.0001987394,0.001069376,0.000668987,0.001107864,0.001748467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003279452,"about_ca_system_score_gemma":0.002693407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6806074,"about_ca_topic_score_gemma":0.8120262,"domain_scores_codex":[0.99953,0.000053845,0.00003352875,0.00008106165,0.0002073465,0.00009435521],"domain_scores_gemma":[0.99415,0.0006031431,0.0005148723,0.0002715584,0.003758976,0.0007015645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007318831,0.00005767447,0.8534594,0.0000237931,0.00004286742,0.00004058614,0.0002471779,0.00794035,0.0001764288,0.000752889,0.06429167,0.07289411],"study_design_scores_gemma":[0.00001846701,0.00004530133,0.8222108,0.0001509805,0.00003664533,0.00003094909,0.001834959,0.1365843,0.0008867123,0.001858075,0.03629056,0.00005221476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8941562,0.00110564,0.00790096,0.0149001,0.0002301725,0.0001336814,0.047336,0.001133726,0.03310344],"genre_scores_gemma":[0.9535761,0.0009118156,0.005056006,0.0005311788,0.00009132511,0.00004870547,0.02888755,0.0001099168,0.01078753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6806074,"threshold_uncertainty_score":0.6425471,"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."}}