{"id":"W2755590192","doi":"10.18438/b8zd3q","title":"Maintaining Quality While Expanding Our Reach: Using Online Information Literacy Tutorials in the Sciences and Health Sciences","year":2017,"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":"Information literacy; Library instruction; CLARITY; Session (web analytics); Mathematics education; Computer science; Medical education; Quality (philosophy); Health science; Psychology; World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002981194,0.0003209025,0.000401885,0.0006723198,0.0003896722,0.001399764,0.0006499583,0.0004187498,0.003550831],"category_scores_gemma":[0.01307346,0.0001502078,0.0003476942,0.0004190501,0.0002284411,0.001349929,0.00141809,0.0004774648,0.0006711761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002797879,"about_ca_system_score_gemma":0.0009022626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004522639,"about_ca_topic_score_gemma":0.001063838,"domain_scores_codex":[0.9984067,0.000769393,0.00009714715,0.0001518027,0.0004110205,0.0001640502],"domain_scores_gemma":[0.994095,0.002791581,0.001033566,0.0003251396,0.0005593039,0.001195293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001131972,0.01691636,0.09334762,0.0006423124,0.0001069395,0.0002110763,0.00357475,0.0006486645,0.009730382,0.000256928,0.002143233,0.8712898],"study_design_scores_gemma":[0.001134242,0.06079071,0.8080624,0.001448393,0.001080963,0.002215073,0.009945603,0.009408901,0.06176617,0.002059709,0.04185065,0.0002371815],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944568,0.0001457807,0.002267637,0.0002065918,0.00002103104,0.0001263319,0.00002915786,0.000174375,0.002572362],"genre_scores_gemma":[0.9847347,0.0003024389,0.01314733,0.0001805478,0.00004955727,0.0001987754,0.0001140777,0.00002115569,0.001251489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003550831,"threshold_uncertainty_score":0.01576626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1636712284647609,"score_gpt":0.4635195655887568,"score_spread":0.2998483371239959,"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."}}