{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001819602,0.0005608185,0.0006602209,0.0007211191,0.0002913611,0.0004286613,0.0007512994,0.0002671054,0.004681834],"category_scores_gemma":[0.000013816,0.0005857899,0.0003344338,0.0002981025,0.00004559752,0.00004749116,0.0007227703,0.001371928,0.002412216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178019,"about_ca_system_score_gemma":0.0005394755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001985801,"about_ca_topic_score_gemma":0.0005860601,"domain_scores_codex":[0.9953327,0.0005380783,0.001009327,0.001407421,0.0009290109,0.0007835055],"domain_scores_gemma":[0.9980718,0.00004026903,0.0004206477,0.001021774,0.0001288384,0.0003166748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004604017,0.006892433,0.1462175,0.002427878,0.003747616,0.000356171,0.6191582,0.0291725,0.007238904,0.00594809,0.06049354,0.1178867],"study_design_scores_gemma":[0.00932038,0.003540362,0.536518,0.00404187,0.001214628,0.0002239965,0.0775322,0.002960859,0.001121804,0.0062101,0.3487177,0.008598044],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584646,0.001508903,0.01184564,0.002560252,0.01249129,0.002239333,0.00003374863,0.000515351,0.01034085],"genre_scores_gemma":[0.9749694,0.0001527036,0.001736494,0.001594185,0.0007533371,0.000216307,0.000356865,0.0001542609,0.02006645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.541626,"threshold_uncertainty_score":0.9996594,"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."}}