{"id":"W4412826727","doi":"10.36315/2025v1end053","title":"PHARMPATH: VIRTUAL IMMERSIVE SIMULATIONS AND IN-PERSON EXPERIENTIAL OPPORTUNITY IN PHARMACY EDUCATION FOR SECONDARY AND POST-SECONDARY STUDENTS FROM UNDERREPRESENTED COMMUNITIES","year":2025,"lang":"en","type":"article","venue":"Education and new developments","topic":"Problem and Project Based Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Pharmacy; Experiential learning; Medical education; Computer science; Virtual reality; Pharmacy education; Multimedia; Mathematics education; Psychology; Human–computer interaction; Knowledge management; Pharmacy practice; Medicine; Nursing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002751732,0.000101733,0.0001212275,0.0003085571,0.0004663703,0.0001313752,0.0001049656,0.00004976329,0.0002319424],"category_scores_gemma":[0.0001278556,0.0001214511,0.00001127084,0.000203834,0.00008685392,0.0004372262,0.00005969617,0.0001664355,6.804038e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001168816,"about_ca_system_score_gemma":0.004780591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02197257,"about_ca_topic_score_gemma":0.006018051,"domain_scores_codex":[0.9991394,0.0002055178,0.0001954974,0.0001891141,0.0001145101,0.0001559693],"domain_scores_gemma":[0.9994036,0.0002573389,0.00007035583,0.00006146814,0.00007950235,0.0001277542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001233301,0.0003429128,0.3612453,0.00003308066,0.00003753349,2.465396e-7,0.2680652,0.000001342637,0.0003757057,0.0004251167,0.001488422,0.3678618],"study_design_scores_gemma":[0.002009964,0.00001695373,0.649595,0.0001383627,0.00001447913,3.800536e-7,0.3230914,0.00003901303,0.0002004302,0.0009046309,0.02381524,0.0001741371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919837,0.0009881721,0.00005120111,0.001770998,0.0006643096,0.0005367007,0.00002046873,0.00001089429,0.003973528],"genre_scores_gemma":[0.9949524,0.0003467139,0.0004009958,0.001427643,0.00005283848,0.00006541253,0.0003007597,0.000005938451,0.00244726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3676877,"threshold_uncertainty_score":0.9845402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06625120129676146,"score_gpt":0.4087921602451101,"score_spread":0.3425409589483487,"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."}}