{"id":"W2870569635","doi":"10.1097/cin.0000000000000455","title":"Educational Analytics","year":2018,"lang":"en","type":"article","venue":"CIN Computers Informatics Nursing","topic":"Educational Games and Gamification","field":"Psychology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dempsey (Canada)","funders":"National Center for Advancing Translational Sciences","keywords":"Attrition; Logistic regression; Analytics; Descriptive statistics; Psychology; Odds; Confidence interval; Odds ratio; Medical education; Computer science; Medicine; Data science; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001572869,0.00009858483,0.00009636592,0.0001511714,0.0001433727,0.00006676528,0.0002055312,0.00006096546,0.0005507069],"category_scores_gemma":[0.00002075927,0.0001026323,0.00004306263,0.0002487294,0.0001918809,0.0001430818,0.0000143334,0.00009724707,0.001053351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089183,"about_ca_system_score_gemma":0.00007936248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004418207,"about_ca_topic_score_gemma":5.575785e-7,"domain_scores_codex":[0.9991562,0.00002192256,0.0003612497,0.00009568642,0.0001556493,0.0002092541],"domain_scores_gemma":[0.9991387,0.000127765,0.0001604102,0.0003113691,0.0001790101,0.00008281854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001908451,0.0003441389,0.002424323,0.0000228453,0.00007429317,2.376971e-7,0.07370195,0.0001148747,0.00001857062,0.3319603,0.3405023,0.2508171],"study_design_scores_gemma":[0.001882683,0.0006353254,0.3491513,0.0008169222,0.0001749808,0.0002947235,0.03179143,0.1379833,0.0002970662,0.05640863,0.4191757,0.00138792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1183926,0.0001400299,0.4720464,0.007253751,0.01292159,0.0002742106,0.00000823492,0.000117844,0.3888453],"genre_scores_gemma":[0.9393761,0.00000263876,0.05492954,0.001743963,0.001582295,0.000008647596,0.00007762328,0.00001396546,0.002265291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8209834,"threshold_uncertainty_score":0.9997244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03254390913884959,"score_gpt":0.3589961207565748,"score_spread":0.3264522116177252,"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."}}