{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001646946,0.0006273979,0.0002167405,0.0002957879,0.001061234,0.001712152,0.001251893,0.0009639867,0.01441475],"category_scores_gemma":[0.002828114,0.0002349527,0.0005203655,0.0002054544,0.0008705042,0.001262763,0.006093688,0.001338184,0.001845505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003661362,"about_ca_system_score_gemma":0.00128502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004030034,"about_ca_topic_score_gemma":0.001439856,"domain_scores_codex":[0.9991916,0.0004703138,0.00001704515,0.00005445248,0.0001092057,0.0001574172],"domain_scores_gemma":[0.9985679,0.0005251564,0.00005944211,0.000107404,0.00006159981,0.0006785237],"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":[0.002286106,0.03120663,0.02102313,0.001793424,0.00008996131,0.003570664,0.06378047,0.01024904,0.03274555,0.01530073,0.116556,0.7013983],"study_design_scores_gemma":[0.001631671,0.03392164,0.0581165,0.00154785,0.0001386387,0.007271716,0.08403987,0.03090557,0.03143024,0.03946249,0.7111056,0.0004282409],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8411016,0.0003396003,0.04689269,0.00425082,0.0006320145,0.001624508,0.0005784332,0.001577388,0.1030028],"genre_scores_gemma":[0.894536,0.0005560869,0.0753151,0.0009039111,0.0001216656,0.001541315,0.0003887586,0.000131676,0.02650553],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01441475,"threshold_uncertainty_score":0.04822218,"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."}}