{"id":"W4391617569","doi":"10.32920/25164632.v1","title":"Encouraging Student Agency Using Gamification & Game-Based Learning to Support Student Mental Health","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Identity, Memory, and Therapy","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Agency (philosophy); Flexibility (engineering); Mental health; Game based learning; Process (computing); Subject (documents); Psychology; Educational game; Mathematics education; Medical education; Computer science; Sociology; Medicine; Management; Social science","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":[0.001176439,0.0004919589,0.0002163823,0.000455468,0.0006255688,0.001809742,0.0005957431,0.0005740671,0.002664906],"category_scores_gemma":[0.003467102,0.0001314974,0.0003671479,0.000177121,0.0008589206,0.0009143196,0.002290596,0.0007875094,0.0005313088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002610783,"about_ca_system_score_gemma":0.0006959719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005321786,"about_ca_topic_score_gemma":0.001905785,"domain_scores_codex":[0.9993671,0.0003782406,0.00001909695,0.00005284546,0.00008224064,0.0001006354],"domain_scores_gemma":[0.9990797,0.0005022267,0.00008440964,0.00008115382,0.00003826652,0.0002142139],"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":[0.001056221,0.01973066,0.02746604,0.0008325347,0.0001468414,0.001202005,0.05898215,0.008935215,0.03023234,0.02582661,0.0152637,0.8103256],"study_design_scores_gemma":[0.002361754,0.02505312,0.1456771,0.002444827,0.0006519186,0.005441457,0.1257142,0.1728008,0.07202605,0.139565,0.3076784,0.0005852612],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9337035,0.0001422758,0.03270599,0.001494451,0.00007787513,0.0003998883,0.00003845595,0.0005104947,0.03092702],"genre_scores_gemma":[0.944864,0.0002190287,0.04942939,0.0001915512,0.00001284672,0.0003324321,0.00003788341,0.00002798248,0.004884805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002664906,"threshold_uncertainty_score":0.008914948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08597146500769427,"score_gpt":0.4574109777625937,"score_spread":0.3714395127548994,"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."}}