{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0231606,0.001027968,0.0009392872,0.00515792,0.006523552,0.01114231,0.004519127,0.004249435,0.06321768],"category_scores_gemma":[0.06775638,0.001150752,0.001016095,0.003424232,0.001111019,0.004362051,0.005479007,0.007056124,0.02956146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01731979,"about_ca_system_score_gemma":0.1035918,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5208798,"about_ca_topic_score_gemma":0.5716094,"domain_scores_codex":[0.9763923,0.003886339,0.001291158,0.001385538,0.01189934,0.005145402],"domain_scores_gemma":[0.8884834,0.01637003,0.003265383,0.006441608,0.05928585,0.0261537],"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":[0.00007989605,0.000158927,0.006561437,0.0000817102,0.00001488316,0.000124764,0.0003894145,0.0007179599,0.0005615493,0.005935717,0.9442741,0.04109957],"study_design_scores_gemma":[0.0001222252,0.000183574,0.03025904,0.0005191755,0.00002493959,0.00006901952,0.001747002,0.002879132,0.0009963987,0.003862391,0.9592379,0.00009916144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02287872,0.001774219,0.02625045,0.272506,0.01019684,0.01021042,0.03480269,0.007572985,0.6138077],"genre_scores_gemma":[0.1612467,0.003189089,0.06274688,0.1140412,0.003928035,0.007500506,0.08401068,0.002523066,0.5608138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5208798,"threshold_uncertainty_score":0.9638836,"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."}}