{"id":"W2973685914","doi":"10.1002/nsr.30523","title":"Engage international grad students, alumni to support recruitment goals","year":2019,"lang":"en","type":"article","venue":"Recruiting & Retaining Adult Learners","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outreach; Session (web analytics); Institution; Medical education; Graduate students; Plan (archaeology); Academic institution; Political science; Psychology; Management; Library science; Medicine; Business; Computer science; History","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":[0.001533305,0.0003998887,0.0004131829,0.000648664,0.000305428,0.0009680021,0.00106585,0.0001026363,0.00176161],"category_scores_gemma":[0.0004437859,0.0004062838,0.0002217188,0.0005166479,0.00004155694,0.0006788814,0.0008560498,0.0004678474,0.008725236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001831945,"about_ca_system_score_gemma":0.00002491582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001568732,"about_ca_topic_score_gemma":0.00003097955,"domain_scores_codex":[0.9965128,0.00005711738,0.0006386064,0.0008426177,0.001170556,0.0007782697],"domain_scores_gemma":[0.998654,0.00009784516,0.0004054916,0.00055135,0.0002222372,0.00006907211],"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":[0.0002490459,0.0004265243,0.700527,0.0004915903,0.0007607691,0.0002381112,0.004777321,0.003270905,0.0007918258,0.02870452,0.02754999,0.2322124],"study_design_scores_gemma":[0.001691393,0.0001266298,0.01073268,0.0004475609,0.00009874927,0.00000464032,0.01024661,0.00147543,0.00006327157,0.0001992732,0.974129,0.0007847191],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8302428,0.0000155121,0.00007130657,0.001976374,0.0008691932,0.00136586,0.000002797585,0.0003998795,0.1650563],"genre_scores_gemma":[0.9707621,0.00002047653,0.0003230496,0.007174755,0.001217984,0.0001952342,0.0001405252,0.00009797206,0.02006788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.946579,"threshold_uncertainty_score":0.9998389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05491874300531224,"score_gpt":0.3097810576097052,"score_spread":0.254862314604393,"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."}}