{"id":"W2027127324","doi":"10.5703/1288284314755","title":"Using iClickers in Library Instruction to Improve Student Engagement","year":2012,"lang":"en","type":"article","venue":"","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Computer science; Student engagement; Mathematics education; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000302721,0.00006388032,0.00005607994,0.000150442,0.00004525638,0.0000926678,0.000301065,0.00002496094,0.00006234211],"category_scores_gemma":[0.00001865817,0.00006186438,0.00001457897,0.000367418,0.000006014563,0.001534035,0.0002743557,0.0001068499,0.00007918113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001054179,"about_ca_system_score_gemma":0.00003691979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004733495,"about_ca_topic_score_gemma":0.000001925752,"domain_scores_codex":[0.9992144,0.00008970164,0.0001436638,0.0001805951,0.0001548046,0.0002168719],"domain_scores_gemma":[0.9995585,0.00002594619,0.00003735606,0.0002801553,0.000009163103,0.00008884954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000478309,0.0004173851,0.6916615,0.00001747891,0.00001247314,0.000001077468,0.02227446,0.004441008,0.007250859,0.0579266,0.001082235,0.2149101],"study_design_scores_gemma":[0.0004823935,0.0001099385,0.9313338,0.00003020322,0.000004377864,0.000007994924,0.002159574,0.02321735,0.01409425,0.0003439611,0.02784878,0.0003673889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9064386,0.00001254638,0.08627623,0.0005383504,0.001633395,0.0002358525,6.616335e-8,0.0001062643,0.004758668],"genre_scores_gemma":[0.8286805,0.000001435065,0.1704942,0.0004203096,0.0001417355,0.00002424796,4.53867e-7,0.000005602427,0.0002315254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2396723,"threshold_uncertainty_score":0.2522756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0329268478412725,"score_gpt":0.3191375425705027,"score_spread":0.2862106947292302,"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."}}