{"id":"W2527243435","doi":"10.18438/b8992d","title":"The Relationship Between Student Demographics and Student Engagement with Online Library Instruction Modules","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demographics; Ethnic group; Student engagement; Medical education; Psychology; Point (geometry); Incentive; Mathematics education; Medicine; Sociology; Demography","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":[0.001236309,0.0001400061,0.0001060813,0.0002068461,0.001781699,0.001704953,0.0003572701,0.00007618761,0.00007230795],"category_scores_gemma":[0.001182757,0.00007858945,0.00002674724,0.0007098478,0.0004649629,0.5725997,0.0001529906,0.0002180612,0.0000182673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000127802,"about_ca_system_score_gemma":0.0002676903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005611962,"about_ca_topic_score_gemma":2.441788e-7,"domain_scores_codex":[0.9977826,0.0006242089,0.0005176158,0.0001570372,0.0006773618,0.0002411861],"domain_scores_gemma":[0.9922776,0.006772635,0.0004596025,0.0002316973,0.00005866015,0.0001997787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007839744,0.00001607643,0.4958866,0.00001503171,0.0000112097,3.85355e-7,0.001826401,0.000006256259,4.419631e-7,0.4717604,0.0004772916,0.02992149],"study_design_scores_gemma":[0.0002826718,0.0001004582,0.5503899,0.0001498994,0.00001259555,0.000001721499,0.007471319,0.00002418522,0.00001384888,0.0004351581,0.4410185,0.00009972705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6420918,0.0005192418,0.001605381,0.3504216,0.0002101662,0.0007207682,0.00003405364,0.0002513201,0.004145694],"genre_scores_gemma":[0.9614056,0.006459528,0.004222173,0.02710329,0.0002170252,0.00003694832,0.00004502439,0.000008483044,0.0005018783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5708948,"threshold_uncertainty_score":0.9995179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03522881016537947,"score_gpt":0.3202404501616944,"score_spread":0.285011639996315,"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."}}