{"id":"W4283016571","doi":"10.18438/eblip30090","title":"Assessing the Impact of an Information Literacy Course on Students' Academic Achievement: A Mixed-Methods Study","year":2022,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Propensity score matching; Information literacy; Medical education; Psychology; Qualitative property; Mathematics education; Course evaluation; Academic achievement; Higher education; Pedagogy; Medicine; Computer science; Internal 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.00787855,0.0001694122,0.0001690523,0.0003647091,0.001952519,0.002563705,0.001038176,0.00005862738,0.0006152147],"category_scores_gemma":[0.001682767,0.0001246457,0.0000775329,0.001472546,0.0001637184,0.8016306,0.0003233017,0.0006346141,0.00002549715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005500424,"about_ca_system_score_gemma":0.000886715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001139138,"about_ca_topic_score_gemma":2.080499e-8,"domain_scores_codex":[0.9937964,0.003451497,0.0009607467,0.0001358106,0.001370295,0.0002852648],"domain_scores_gemma":[0.9952166,0.002831996,0.001260313,0.0003828646,0.000131907,0.0001762884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001166048,0.001377761,0.04967961,0.00008403943,0.0001158803,0.00000289783,0.1896288,0.01506466,0.00001756552,0.2048769,0.005200571,0.5327853],"study_design_scores_gemma":[0.0007792324,0.001730127,0.3143835,0.00009583167,0.00004516409,0.000006985999,0.20617,0.01235852,0.00007772863,0.0002416834,0.4638254,0.0002858794],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548465,0.0001412969,0.001572267,0.03557399,0.0005195435,0.001676257,0.00004914785,0.0001655589,0.005455435],"genre_scores_gemma":[0.9468904,0.0001614636,0.002211971,0.05036024,0.00008172668,0.0001136881,0.0001082578,0.000005580872,0.0000667486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7990669,"threshold_uncertainty_score":0.9993468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02632424291957674,"score_gpt":0.454416230077734,"score_spread":0.4280919871581572,"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."}}