{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006568079,0.000374494,0.0005064392,0.001956321,0.0007909351,0.001790937,0.0006375979,0.0004974889,0.002552638],"category_scores_gemma":[0.03146533,0.0003207872,0.0006768894,0.001751336,0.0004545808,0.0008765658,0.001856344,0.0007270721,0.0007507692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003789509,"about_ca_system_score_gemma":0.005901315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03903032,"about_ca_topic_score_gemma":0.08020075,"domain_scores_codex":[0.995419,0.001117,0.0003904518,0.0003160154,0.001925911,0.0008316921],"domain_scores_gemma":[0.9780984,0.008666404,0.003576539,0.0008863177,0.005216817,0.003555498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006616686,0.002412138,0.8266227,0.0003370731,0.0001068259,0.0001511892,0.008572262,0.001379218,0.00252438,0.0001976877,0.001722731,0.1553122],"study_design_scores_gemma":[0.00003141336,0.001278483,0.9906915,0.00004974283,0.00002642553,0.00004404055,0.00190177,0.003260897,0.0008510068,0.00007821475,0.001757313,0.00002911946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968297,0.00002156305,0.0007549146,0.00009048269,0.000003340367,0.0003870727,0.000340618,0.00005711534,0.001515245],"genre_scores_gemma":[0.9908318,0.00009684357,0.0062965,0.00005313888,0.000008571396,0.0005238323,0.0007536508,0.0000120302,0.001423512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03903032,"threshold_uncertainty_score":0.07760626,"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."}}