{"id":"W2055881455","doi":"10.1002/emt.30010","title":"Base planning on data to meet enrollment targets","year":2014,"lang":"en","type":"article","venue":"Enrollment Management Report","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Government (linguistics); Key (lock); Division (mathematics); Business; Set (abstract data type); Data set; Operations management; Computer science; Computer security; Geography; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005412329,0.0003045031,0.0003850354,0.0003747008,0.0009371989,0.00004044556,0.0007408326,0.0001173059,0.0007651237],"category_scores_gemma":[0.0004425364,0.0002695546,0.00005307109,0.000366923,0.00001899825,0.0002130105,0.0009977361,0.0002871099,0.001027189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005079446,"about_ca_system_score_gemma":0.0001806739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003563554,"about_ca_topic_score_gemma":0.00003724954,"domain_scores_codex":[0.9954628,0.0004002166,0.001185115,0.0009473769,0.0008486671,0.001155793],"domain_scores_gemma":[0.9959772,0.0002554824,0.0004757952,0.002605208,0.0000895366,0.0005967901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005751667,0.0002349861,0.009698611,0.0002716697,0.00008017002,0.00009969621,0.001722875,0.0004775619,0.00001733273,0.01414878,0.9694929,0.003697922],"study_design_scores_gemma":[0.0006961276,0.0001586848,0.02403964,0.0002319909,0.00003285393,0.000004176278,0.001774952,0.000693185,0.000009605114,0.0004143304,0.9716772,0.0002672078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07741465,0.00005498189,0.00818159,0.05417287,0.007714587,0.004582285,0.00004044217,0.0004810086,0.8473576],"genre_scores_gemma":[0.8270044,0.00004724567,0.006878589,0.07806616,0.003441483,0.001767305,0.001099916,0.0001134812,0.08158141],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7657762,"threshold_uncertainty_score":0.9999757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1576016167116042,"score_gpt":0.4957059278599178,"score_spread":0.3381043111483135,"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."}}