{"id":"W1580040017","doi":"10.18438/b80616","title":"Information Literacy Instruction Assessment and Improvement through Evidence Based Practice: A Mixed Method Study","year":2010,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"California State University, East Bay","keywords":"Information literacy; Session (web analytics); Relevance (law); Focus group; Library instruction; Mathematics education; Psychology; Literacy; Medical education; Computer science; Pedagogy; World Wide Web; Medicine; Sociology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05215535,0.0005745142,0.001446663,0.002826595,0.001717971,0.002836604,0.001283555,0.001262926,0.002371055],"category_scores_gemma":[0.05564712,0.0009237644,0.001311499,0.002179179,0.001108646,0.001999925,0.002201332,0.0009550356,0.0003730456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002211949,"about_ca_system_score_gemma":0.005160602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009083988,"about_ca_topic_score_gemma":0.002473044,"domain_scores_codex":[0.9673665,0.02414619,0.003150103,0.001134807,0.003406138,0.0007962497],"domain_scores_gemma":[0.9119572,0.07035505,0.006226045,0.002974942,0.007084321,0.001402442],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007161522,0.0589309,0.1465108,0.007396358,0.001113621,0.0008108373,0.1631419,0.0008642816,0.005468763,0.001419943,0.001137268,0.6060438],"study_design_scores_gemma":[0.01408838,0.2467052,0.3841471,0.01020084,0.002957878,0.00187184,0.2752686,0.01093574,0.02424107,0.003455805,0.02547499,0.0006525565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869109,0.0008306656,0.003627828,0.0002525863,0.00002446286,0.006880932,0.0001066767,0.00001765099,0.00134815],"genre_scores_gemma":[0.9414394,0.001922095,0.03538486,0.0004573907,0.00005050438,0.01927692,0.0001272916,0.00001354804,0.00132796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9478446,"threshold_uncertainty_score":0.2758271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941937849769843,"score_gpt":0.3734938247052611,"score_spread":0.3540744462075627,"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."}}