{"id":"W4386495851","doi":"10.32920/24101772","title":"Co-Curricular Activities and their Role in Supporting Experiential Learning","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Experiential learning; Multidisciplinary approach; Competition (biology); Psychology; Pedagogy; Student engagement; Medical education; Mathematics education; Political science; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001792836,0.0002527035,0.0002479979,0.0002254112,0.00003785414,0.00009284863,0.0001036248,0.0001608253,0.0001149243],"category_scores_gemma":[0.00002601954,0.0002431287,0.00004751225,0.0001075982,0.00001469529,0.00005769292,0.000103983,0.0005816432,0.00001898643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010051,"about_ca_system_score_gemma":0.00003396834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004369601,"about_ca_topic_score_gemma":0.00001763718,"domain_scores_codex":[0.9990672,0.00001830876,0.0002724183,0.0002553871,0.0001016449,0.0002849912],"domain_scores_gemma":[0.9997156,0.00003572544,0.00003492009,0.0001340786,0.00001129511,0.00006838553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000435584,0.00009833366,0.04389749,0.00170568,0.0002972881,0.00003574288,0.07906982,0.8346134,0.009388234,0.0006526132,0.005078936,0.02515812],"study_design_scores_gemma":[0.0008542467,0.00003982452,0.05328565,0.001359017,0.00002928319,0.00003482981,0.1078257,0.7210284,0.06529488,0.0007349026,0.04609871,0.003414535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895487,0.0003547054,0.004462216,0.00003373255,0.001078019,0.0001852265,0.000004133344,0.001122903,0.003210379],"genre_scores_gemma":[0.9981167,0.0001797681,0.0004559564,0.000007089769,0.00008844477,0.0001775888,0.00007961385,0.00006358855,0.0008312261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.113585,"threshold_uncertainty_score":0.99145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008773250756166966,"score_gpt":0.2452893857179335,"score_spread":0.2365161349617665,"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."}}