{"id":"W6976506339","doi":"10.60692/xae4w-zsx94","title":"Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Educational Games and Gamification","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Serious game; Health care; Leverage (statistics); Digital health; Process (computing); Narrative; MEDLINE; Plan (archaeology)","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":[0.01545335,0.001529362,0.003889655,0.01690421,0.001191706,0.005512439,0.002755234,0.004683765,0.006123515],"category_scores_gemma":[0.09280176,0.00100814,0.004403124,0.0177857,0.00197753,0.00415292,0.003124617,0.002690237,0.000766483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006627685,"about_ca_system_score_gemma":0.02483282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009295993,"about_ca_topic_score_gemma":0.01389596,"domain_scores_codex":[0.9857537,0.006399231,0.004601432,0.0006167579,0.00220254,0.0004264014],"domain_scores_gemma":[0.8804507,0.1051048,0.006194956,0.001189946,0.006410566,0.0006490187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008028797,0.00005610357,0.0003488555,0.7948303,0.0008744946,0.0001050569,0.0008284449,0.0003775025,0.000108401,0.003979128,0.005757171,0.1926543],"study_design_scores_gemma":[0.00002582933,0.00005303025,0.0005102228,0.9561408,0.001632526,0.0001267135,0.0004190647,0.0001053661,0.00007206887,0.001354216,0.03954431,0.00001582328],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003119879,0.9965906,0.0003658517,0.0008890323,0.0002415629,0.0002948843,0.0001018492,0.00001054602,0.001193667],"genre_scores_gemma":[0.004843991,0.9922534,0.001097243,0.0006737731,0.0001517995,0.0007030042,0.0001246522,0.0000063774,0.0001458537],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01690421,"threshold_uncertainty_score":0.08172613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07257648582663893,"score_gpt":0.3373136413916789,"score_spread":0.26473715556504,"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."}}