{"id":"W2856263461","doi":"10.5539/hes.v8n3p27","title":"The Arbitrary Choice of the Predictor in Meritocratic Selection to Higher Education Affects the Selection Outcomes","year":2018,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Predictive validity; Meritocracy; Correlation; Identity (music); Psychology; Incremental validity; Statistics; Social psychology; Econometrics; Test validity; Mathematics; Psychometrics; Computer science; Machine learning; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.03002901,0.0003511404,0.0006839973,0.001091052,0.00148961,0.002901276,0.0007814945,0.0009315104,0.005065696],"category_scores_gemma":[0.08795319,0.0002221531,0.0004899064,0.001773971,0.003084994,0.001739484,0.002545082,0.001720863,0.0008980175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008611961,"about_ca_system_score_gemma":0.001822198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000757058,"about_ca_topic_score_gemma":0.001526737,"domain_scores_codex":[0.9785897,0.01558836,0.0007955463,0.001161421,0.003133168,0.0007317707],"domain_scores_gemma":[0.9167356,0.0677989,0.006258531,0.005652224,0.002513854,0.001040887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001137101,0.0007692821,0.5580065,0.0003323077,0.0002992859,0.000410915,0.002620929,0.006752712,0.003076861,0.2364935,0.002472877,0.1876279],"study_design_scores_gemma":[0.000315008,0.002278988,0.4361817,0.0007356837,0.0003880331,0.001138366,0.00389746,0.07302667,0.02118671,0.4440428,0.01659365,0.0002149061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8236247,0.0005952978,0.1298694,0.008550031,0.000251576,0.0003438224,0.0003300144,0.0001054443,0.03632979],"genre_scores_gemma":[0.9813452,0.0001214171,0.01641256,0.000267242,0.00007138246,0.000120429,0.0000686661,0.00001327086,0.001579855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03002901,"threshold_uncertainty_score":0.1588105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03802805857185948,"score_gpt":0.3255161345600729,"score_spread":0.2874880759882134,"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."}}