{"id":"W2136660948","doi":"10.18438/b84p4d","title":"Linking Library to Student Retention: A Statistical Analysis","year":2015,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salary; Bachelor; Argument (complex analysis); Psychology; Higher education; Mathematics education; Library science; Medical education; Computer science; Political science; Medicine","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001484037,0.0001313683,0.0001727719,0.0005903684,0.0004820677,0.0026978,0.0004324184,0.00008508546,0.001193948],"category_scores_gemma":[0.001866092,0.0001213623,0.00005815518,0.00282834,0.0001289646,0.7281443,0.0001779293,0.000182788,0.0004121194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001906896,"about_ca_system_score_gemma":0.0007836035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001974194,"about_ca_topic_score_gemma":6.919123e-8,"domain_scores_codex":[0.9974887,0.0005230175,0.0006067493,0.0001845576,0.0009042386,0.0002926751],"domain_scores_gemma":[0.997384,0.001272434,0.0003083428,0.0002532319,0.0001080743,0.0006739929],"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":[0.0001989073,0.00003528674,0.01353481,0.00002355666,0.00003756361,0.0000044686,0.009283182,0.0006283983,6.158364e-7,0.9483936,0.01727499,0.01058466],"study_design_scores_gemma":[0.0001832865,0.0001338898,0.01855825,0.00007406183,0.00007347466,0.000001753398,0.01025959,0.002035422,0.00002906504,0.000402201,0.9680663,0.0001827544],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0181007,0.0005693198,0.06652364,0.6903181,0.0009873065,0.001339115,0.00009851503,0.0009504269,0.2211129],"genre_scores_gemma":[0.300635,0.0009503173,0.07771881,0.6166396,0.0005061356,0.00007546201,0.0005072127,0.0000145836,0.002952827],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9507912,"threshold_uncertainty_score":0.9997191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03440698146729182,"score_gpt":0.3369842819611427,"score_spread":0.3025773004938509,"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."}}