{"id":"W2929057716","doi":"10.4018/978-1-5225-9073-6.ch001","title":"Evolution of Admissions and Recruiting","year":2019,"lang":"en","type":"book-chapter","venue":"Advances in educational marketing, administration, and leadership book series","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Competitor analysis; Reputation; Quality (philosophy); Globalization; Process (computing); Work (physics); Selection (genetic algorithm); Public relations; Affect (linguistics); Business; Political science; Marketing; Medical education; Psychology; Engineering; Computer science; Medicine; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01032942,0.0006506178,0.0005806523,0.004428052,0.01128304,0.01428255,0.003880027,0.002848696,0.01235908],"category_scores_gemma":[0.02250632,0.0007751564,0.0007230744,0.00603207,0.01111212,0.003886446,0.006543163,0.005138824,0.002644719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06239339,"about_ca_system_score_gemma":0.07037341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3871392,"about_ca_topic_score_gemma":0.5622751,"domain_scores_codex":[0.9808878,0.003983845,0.0006791466,0.001842942,0.009205153,0.003401149],"domain_scores_gemma":[0.9837649,0.002415657,0.0008313995,0.0009037508,0.006942064,0.00514222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008865225,0.0003098338,0.01069527,0.0001998725,0.00001026276,0.0004406888,0.01601809,0.001794405,0.001816297,0.4876747,0.02902311,0.4519288],"study_design_scores_gemma":[0.00002711484,0.0001777606,0.03154873,0.0003032364,0.00001089059,0.0004016222,0.01155076,0.00186449,0.001381336,0.03132364,0.9212486,0.0001617449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1546611,0.006262721,0.01787396,0.03240416,0.002700796,0.001103085,0.0003426918,0.0006269446,0.7840245],"genre_scores_gemma":[0.4593034,0.003958163,0.009655523,0.005705698,0.00103586,0.000264979,0.0003572737,0.0003321107,0.519387],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3871392,"threshold_uncertainty_score":0.7697716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03557774628033953,"score_gpt":0.2598230156450257,"score_spread":0.2242452693646862,"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."}}