{"id":"W3210370429","doi":"10.1016/j.cptl.2021.09.037","title":"From student to tutor: A journey in problem-based learning","year":2021,"lang":"en","type":"article","venue":"Currents in Pharmacy Teaching and Learning","topic":"Problem and Project Based Learning","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"TUTOR; Pharmacy; Problem-based learning; Medical education; Graduation (instrument); Curriculum; Experiential learning; Psychology; Licensure; Active learning (machine learning); Medicine; Mathematics education; Pedagogy; Computer science; Nursing; Engineering","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":[0.0134992,0.0004516351,0.000763061,0.001325101,0.008846351,0.02278943,0.001805441,0.007438914,0.01319745],"category_scores_gemma":[0.02498955,0.0004148546,0.0004929742,0.001509545,0.006986612,0.02117795,0.01227825,0.01108342,0.004126674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002964071,"about_ca_system_score_gemma":0.01246911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002056253,"about_ca_topic_score_gemma":0.003018947,"domain_scores_codex":[0.9899145,0.006914207,0.0004345528,0.0005331212,0.001347003,0.0008565324],"domain_scores_gemma":[0.9785162,0.00743312,0.0006356092,0.0007328583,0.003853726,0.00882855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001796802,0.00206158,0.0075344,0.001100583,0.00003591798,0.001222137,0.2702792,0.0004355657,0.001380253,0.1456219,0.0844259,0.485723],"study_design_scores_gemma":[0.00002809186,0.0007629473,0.003394887,0.002244377,0.00001818641,0.001522963,0.2626451,0.0008845914,0.001046463,0.06286008,0.6645017,0.0000905476],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1945985,0.08128256,0.03994432,0.5448487,0.005261821,0.0003898788,0.0002490383,0.0007196125,0.1327055],"genre_scores_gemma":[0.7864017,0.04808198,0.06068648,0.03021366,0.001461669,0.000428287,0.0002877292,0.0005881408,0.07185028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02278943,"threshold_uncertainty_score":0.07139146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04806513456618029,"score_gpt":0.4223360515011145,"score_spread":0.3742709169349343,"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."}}