{"id":"W2208146637","doi":"10.18438/b80c76","title":"Assessing the Impact of Embedding Online Academic and Information Literacy Resources into a First Year Business Course","year":2015,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information literacy; Documentation; Variety (cybernetics); Higher education; Medical education; Resource (disambiguation); Standardization; Psychology; Computer science; Mathematics education; Pedagogy; Political 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":[0.001662572,0.0001340647,0.0001431076,0.0002463641,0.0006580083,0.002184942,0.0003473195,0.0001115501,0.0000724858],"category_scores_gemma":[0.004697327,0.00009332491,0.00003740136,0.001210103,0.0003292897,0.8335842,0.0001321556,0.0002827486,0.00001979678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002148247,"about_ca_system_score_gemma":0.0009083352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002152741,"about_ca_topic_score_gemma":8.15723e-8,"domain_scores_codex":[0.9981713,0.000309866,0.000665939,0.00008844181,0.0005563977,0.0002080196],"domain_scores_gemma":[0.996809,0.001647315,0.0008617186,0.0001884182,0.000279055,0.000214471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001140766,0.0001707306,0.0870997,0.0007273143,0.00008688424,0.000002630752,0.3992886,0.01126255,0.00002540168,0.3274534,0.02005235,0.1526897],"study_design_scores_gemma":[0.0005105595,0.0001273456,0.0954232,0.0006251027,0.0000271052,0.00001133497,0.05974513,0.03137671,0.00003553829,0.0003862873,0.8115028,0.0002288803],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7494935,0.00139778,0.002898281,0.2335426,0.0004534097,0.0008497235,0.00004563691,0.0002234783,0.0110956],"genre_scores_gemma":[0.9657609,0.002512102,0.006005589,0.02535027,0.0001942336,0.00001221122,0.0001055241,0.000005562054,0.00005356811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8313993,"threshold_uncertainty_score":0.9988509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02940849650622259,"score_gpt":0.383272740000506,"score_spread":0.3538642434942834,"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."}}