{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002759561,0.00102899,0.0005539007,0.003798243,0.000648329,0.004232116,0.001482383,0.0007278919,0.1266325],"category_scores_gemma":[0.01243691,0.0003528768,0.00094755,0.003384758,0.0002257975,0.00273524,0.002876189,0.001334746,0.07518658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000859685,"about_ca_system_score_gemma":0.001779207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002758598,"about_ca_topic_score_gemma":0.002797585,"domain_scores_codex":[0.9977857,0.000488617,0.0002612151,0.0003846375,0.0008862474,0.0001935267],"domain_scores_gemma":[0.995369,0.001437475,0.0001988549,0.001088706,0.001586572,0.0003192905],"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":[0.0002568414,0.0002977169,0.003920536,0.000849633,0.00007046712,0.0000975985,0.0003707823,0.001182123,0.001124319,0.02307365,0.3022801,0.6664762],"study_design_scores_gemma":[0.00008402659,0.0001184842,0.003631154,0.000380748,0.00002866005,0.00009255998,0.0003894558,0.006757321,0.002445899,0.02332938,0.9627058,0.00003660017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01261271,0.003970137,0.2054402,0.007316323,0.001887654,0.003487913,0.1011691,0.1077366,0.5563793],"genre_scores_gemma":[0.1570123,0.005518501,0.3347835,0.005121849,0.0008053671,0.0051817,0.2135431,0.007335059,0.2706985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1266325,"threshold_uncertainty_score":0.423628,"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."}}