{"id":"W4229569797","doi":"10.1002/emt.30593","title":"Use inquiry forms effectively to boost recruitment efforts","year":2019,"lang":"en","type":"article","venue":"Enrollment Management Report","topic":"Dental Education, Practice, Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Administration (probate law); Vice president; Political science; Public relations; Management; Business; Public administration; Economics; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004916406,0.0003378068,0.0003983206,0.0005016775,0.0005330626,0.00009586836,0.0003722768,0.000136016,0.00300726],"category_scores_gemma":[0.000389196,0.0002929218,0.0001304593,0.0005999866,0.00003534831,0.0008192333,0.0009629761,0.0005306562,0.01289894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001811506,"about_ca_system_score_gemma":0.0002397051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003628012,"about_ca_topic_score_gemma":0.00002531731,"domain_scores_codex":[0.9950101,0.0003609276,0.001162187,0.0009523904,0.001359791,0.001154631],"domain_scores_gemma":[0.9969804,0.0002943277,0.0005672273,0.001510925,0.0002018987,0.0004452632],"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":[0.0003592843,0.0006330189,0.9309291,0.0006207093,0.0003858347,0.0007207399,0.003381309,0.00006022115,0.0002812663,0.003802675,0.0471415,0.01168439],"study_design_scores_gemma":[0.0006624572,0.0001595926,0.4783383,0.0001277481,0.00003902509,0.00001851343,0.002201724,0.000007879048,0.0001019833,0.000169023,0.5179582,0.000215519],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.812157,0.00003285698,0.0003237591,0.001593279,0.003685811,0.01404394,0.00000470728,0.0001896749,0.167969],"genre_scores_gemma":[0.6896731,0.00008588479,0.0008600759,0.003350679,0.0002771436,0.005832722,0.0001663704,0.00008554792,0.2996684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4708167,"threshold_uncertainty_score":0.9999523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.177272755719899,"score_gpt":0.5065151870487553,"score_spread":0.3292424313288563,"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."}}