{"id":"W3007982904","doi":"10.3390/pharmacy8010026","title":"Assessing Performance and Engagement on a Computer-Based Education Platform for Pharmacy Practice","year":2020,"lang":"en","type":"article","venue":"Pharmacy","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Ontario College of Pharmacists","keywords":"Pharmacy; Pharmacy practice; Multivariate analysis of variance; Medical education; Scope of practice; Psychology; Variance (accounting); Pharmacy technician; Scope (computer science); Technician; Medicine; Nursing; Computer science; Health care; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006388166,0.00008646765,0.00008553069,0.00003867472,0.0006157359,0.0002157077,0.0001032985,0.00001198054,0.00006802344],"category_scores_gemma":[0.0002318479,0.00008712492,0.00002882893,0.0001446126,0.00003506913,0.001051387,0.00002155838,0.0002047574,0.0000176626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005155103,"about_ca_system_score_gemma":0.0008378847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007190328,"about_ca_topic_score_gemma":0.000002555681,"domain_scores_codex":[0.9991486,0.0001164533,0.0001292139,0.0001969484,0.0002091129,0.0001996655],"domain_scores_gemma":[0.9991672,0.0004446582,0.0001081568,0.00004366037,0.00009405675,0.0001422729],"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":[0.000133099,0.0001810966,0.001485715,0.00008445293,0.00001580146,0.000001082058,0.003459389,0.0002614044,0.0002915318,0.0007605942,0.003671478,0.9896544],"study_design_scores_gemma":[0.001073756,0.0000667479,0.0001091389,0.00002861633,0.00003858989,3.919738e-7,0.001855823,0.06744699,0.00101035,0.00001224265,0.928246,0.0001113575],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9018257,0.0001610984,0.00708264,0.07245956,0.0007094711,0.0008622495,0.000004153435,0.0001940261,0.01670114],"genre_scores_gemma":[0.9670933,0.0001393048,0.02274594,0.008440762,0.001469577,0.00003448005,0.00001360444,0.00001148748,0.00005152495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.989543,"threshold_uncertainty_score":0.4735805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1559371914445417,"score_gpt":0.468153326627695,"score_spread":0.3122161351831533,"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."}}