{"id":"W4327591862","doi":"10.18438/eblip30328","title":"Evidence Summary Theme: Information Access and Retrieval","year":2023,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Theme (computing); Computer science; Information retrieval; Information access; World Wide Web; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.00136765,0.0001481503,0.0001280653,0.0003606003,0.0003347951,0.002861221,0.0005489814,0.00007793806,0.00002598385],"category_scores_gemma":[0.003146915,0.0001324175,0.00002918118,0.001073003,0.00004002399,0.577464,0.0005403219,0.0002601859,0.0002106446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001312867,"about_ca_system_score_gemma":0.0001704433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009948658,"about_ca_topic_score_gemma":1.040943e-8,"domain_scores_codex":[0.9984567,0.0002340521,0.0004746086,0.0001717085,0.0004330579,0.0002299086],"domain_scores_gemma":[0.9964322,0.002593975,0.0004201202,0.000315955,0.0001205085,0.0001172328],"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":[0.0002455616,0.000009707784,0.001696302,0.0004424117,0.00001832917,0.00000905936,0.00148839,0.001122878,0.00007535249,0.9136741,0.006434433,0.07478347],"study_design_scores_gemma":[0.0001898533,0.0001598548,0.0128588,0.001706163,0.00001154337,0.00003498332,0.0004782212,0.08336141,0.001782134,0.0003150499,0.89882,0.0002819363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01665161,0.004355482,0.7354944,0.2195253,0.002267665,0.001742902,0.000017247,0.002986931,0.01695853],"genre_scores_gemma":[0.769185,0.04355123,0.03261457,0.1484552,0.0006616804,0.000122467,0.0001448723,0.00004182558,0.005223128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.913359,"threshold_uncertainty_score":0.9981739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04106304772892434,"score_gpt":0.2913641559284862,"score_spread":0.2503011081995619,"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."}}