{"id":"W4412740040","doi":"10.2196/81344","title":"Affective computing in serious games for physical rehabilitation: Scoping review (Preprint)","year":2025,"lang":"en","type":"preprint","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Rehabilitation; Computer science; Psychology; Human–computer interaction; Applied psychology; Physical medicine and rehabilitation; Medicine; World Wide Web; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006046739,0.001438217,0.003226173,0.009024453,0.00100918,0.004494169,0.001729674,0.002809417,0.009095917],"category_scores_gemma":[0.03197241,0.0007809998,0.00380468,0.00907351,0.001044943,0.002992537,0.002272871,0.001807954,0.001468853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003118589,"about_ca_system_score_gemma":0.0119518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005766236,"about_ca_topic_score_gemma":0.01093898,"domain_scores_codex":[0.995708,0.001299622,0.00164885,0.0003062664,0.0008713784,0.0001659435],"domain_scores_gemma":[0.968523,0.02565767,0.002346878,0.0003896984,0.002865786,0.0002170469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001319816,0.00005250545,0.0002260385,0.7440161,0.0007729035,0.00008392373,0.0005830608,0.0001644434,0.0002660093,0.00204455,0.01003203,0.2416265],"study_design_scores_gemma":[0.00003497319,0.00009994911,0.001125731,0.899498,0.002851765,0.0002036645,0.0004820399,0.00008311208,0.0002432972,0.0009123359,0.09444037,0.00002480751],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003547588,0.9967574,0.000276998,0.000520015,0.0004140496,0.0002442986,0.000178219,0.00001121421,0.00124303],"genre_scores_gemma":[0.002944635,0.9946907,0.0006385929,0.0005499485,0.0001899756,0.0005091181,0.0001464677,0.000009205049,0.0003212285],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009095917,"threshold_uncertainty_score":0.03197861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024769310418113,"score_gpt":0.3899189375561685,"score_spread":0.3651496271380555,"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."}}