{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04477928,0.002171459,0.01013176,0.01966657,0.002162967,0.01318622,0.004313494,0.01300905,0.03245775],"category_scores_gemma":[0.2691036,0.00178235,0.01050755,0.01982075,0.003032917,0.008975524,0.007259846,0.009685865,0.006233161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01296162,"about_ca_system_score_gemma":0.02139403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005969749,"about_ca_topic_score_gemma":0.008891234,"domain_scores_codex":[0.9126097,0.02963427,0.0296067,0.003390778,0.02311873,0.001639708],"domain_scores_gemma":[0.750973,0.1721586,0.03526141,0.004565758,0.03417526,0.002865985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004081258,0.00005934863,0.0006799122,0.7598484,0.00284073,0.00008006508,0.0002634979,0.0001070623,0.0001507526,0.00390008,0.08251228,0.1491498],"study_design_scores_gemma":[0.0003104887,0.0001320268,0.001710327,0.841491,0.003854634,0.000176024,0.0002137116,0.00006401981,0.000113827,0.002336449,0.1495678,0.00002982262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002717003,0.9554349,0.0007797677,0.02315402,0.008387652,0.00234233,0.002416007,0.00004803755,0.007165754],"genre_scores_gemma":[0.006762927,0.9576001,0.003016694,0.02076512,0.004172141,0.004510129,0.001481421,0.00004701527,0.001644476],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04477928,"threshold_uncertainty_score":0.2368183,"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."}}