{"id":"W3088289157","doi":"10.5539/jel.v9n5p198","title":"Testing the Effect of UNIV1000 on Retention in a Regional University in the US","year":2020,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Retention rate; Probit model; Competition (biology); Confounding; Test (biology); Observational study; Psychology; Macro; Grade retention; Higher education; Mathematics education; Demographic economics; Demography; Medical education; Economics; Sociology; Econometrics; Statistics; Marketing; Business; Medicine; Academic achievement; Computer science; Mathematics; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002088636,0.00002461695,0.00005875294,0.00007808529,0.0002023529,0.00001706472,0.0001014178,0.00001486413,0.00001389679],"category_scores_gemma":[0.002401451,0.0000149621,0.00001824146,0.0004812189,0.00008093809,0.00007303127,0.000007026134,0.0003180805,7.347842e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005360719,"about_ca_system_score_gemma":0.0002599637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005841396,"about_ca_topic_score_gemma":0.00008103557,"domain_scores_codex":[0.998222,0.001386704,0.00009514373,0.00003854435,0.0001996278,0.00005796166],"domain_scores_gemma":[0.9984811,0.001247275,0.0001379328,0.00002122169,0.00008492631,0.00002752413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008980885,0.00006589362,0.7671387,0.00002360135,0.000009218519,0.000002371248,0.206664,0.0005568914,0.0002099914,0.002278441,0.001528959,0.02143223],"study_design_scores_gemma":[0.0001910026,0.0002520162,0.797985,0.0000876237,0.000004656517,0.000001538778,0.1407274,0.00003446179,0.000004221874,0.00003410816,0.06065625,0.00002171635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662477,0.000131701,0.000001841496,0.02878477,0.00004906477,0.00006517916,3.93811e-8,0.000001170479,0.004718468],"genre_scores_gemma":[0.9994719,0.00006743495,0.000029321,0.0001613824,0.000109701,4.066242e-7,1.419103e-7,0.000001012734,0.0001586989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06593651,"threshold_uncertainty_score":0.2874935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05810457194532642,"score_gpt":0.3712071775314091,"score_spread":0.3131026055860827,"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."}}