{"id":"W4240930392","doi":"10.1002/emt.30592","title":"Engage international grad students, alumni to support recruitment goals","year":2019,"lang":"en","type":"article","venue":"Enrollment Management Report","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outreach; Session (web analytics); Medical education; Institution; Graduate students; Plan (archaeology); Political science; Academic institution; Psychology; Library science; Medicine; Business; Geography; Computer science","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00200407,0.0005904136,0.0005236469,0.001120773,0.0002542202,0.001058248,0.001577282,0.00008444196,0.00810622],"category_scores_gemma":[0.00003645543,0.0005787049,0.0003183866,0.0006607222,0.00003362378,0.0009733945,0.002528093,0.0002481961,0.01916594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000303778,"about_ca_system_score_gemma":0.00001413384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007372543,"about_ca_topic_score_gemma":0.00002194852,"domain_scores_codex":[0.9942923,0.00002880387,0.001140505,0.001325097,0.002345885,0.000867371],"domain_scores_gemma":[0.9977651,0.00002394252,0.0005834325,0.001397968,0.0001422974,0.00008722638],"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":[0.0002911478,0.002303707,0.4729392,0.0007643789,0.00228244,0.007112163,0.0003283456,0.001521252,0.0002142902,0.05604858,0.4239837,0.03221082],"study_design_scores_gemma":[0.001666072,0.00007891701,0.05229482,0.00009072369,0.0001728789,0.00001635313,0.0005382562,0.00008102425,0.00003368141,0.0005220109,0.9438583,0.000646923],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4481418,0.00002010084,0.0003926413,0.002563408,0.003037673,0.004877227,0.000003858037,0.0004615108,0.5405018],"genre_scores_gemma":[0.7938792,0.00004030698,0.000495812,0.009693443,0.001172366,0.0009668117,0.0004096765,0.0001035526,0.1932388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5198747,"threshold_uncertainty_score":0.9999787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03594486871664047,"score_gpt":0.2999479043869482,"score_spread":0.2640030356703077,"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."}}