{"id":"W2441009899","doi":"10.18438/b8sg94","title":"Exploring the Complexity of Student Learning Outcome Assessment Practices Across Multiple Libraries","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grounded theory; Alliance; Qualitative property; Medical education; Qualitative research; Plan (archaeology); Psychology; Library science; Sociology; Computer science; Medicine; Political science; Social science","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"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002561186,0.0001300691,0.0001575,0.0001038561,0.001290221,0.001375251,0.0005672894,0.00004457502,0.0003215815],"category_scores_gemma":[0.006672678,0.00007655042,0.00005552722,0.0005908072,0.0009242222,0.793334,0.0002498016,0.0002359519,0.00004656547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001796862,"about_ca_system_score_gemma":0.0003835986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006065351,"about_ca_topic_score_gemma":2.591189e-7,"domain_scores_codex":[0.9972427,0.0008173096,0.000745351,0.0001384263,0.0007603354,0.0002958763],"domain_scores_gemma":[0.9906647,0.007224819,0.001601858,0.0002536811,0.0001190047,0.0001358973],"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":[0.0001335136,0.0000389314,0.1292118,0.00005523309,0.00001467151,6.197182e-7,0.01378062,0.00006712414,0.00002560456,0.8326141,0.0002653752,0.02379245],"study_design_scores_gemma":[0.0002791286,0.00009328447,0.2320319,0.0001522162,0.000009870475,0.000001514771,0.03769449,0.0004056034,0.0003874497,0.0002044776,0.7286113,0.0001288303],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3333116,0.0002406974,0.005077528,0.6405098,0.0007702401,0.0008863445,0.00003365001,0.0003390094,0.01883111],"genre_scores_gemma":[0.9657774,0.00188719,0.004945758,0.02683686,0.0001153295,0.00005461762,0.00001106054,0.000005383853,0.0003664231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8324096,"threshold_uncertainty_score":0.9996614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.20148140093232,"score_gpt":0.4039996430896104,"score_spread":0.2025182421572904,"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."}}