{"id":"W4417447353","doi":"10.1007/978-3-032-15735-5_5","title":"AI Applications for General Well-Being","year":2025,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Future Earth","funders":"","keywords":"Productivity; Applications of artificial intelligence; Tracking (education); Health care; Artificial general intelligence; Big data; Mental health","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":[0.0005086132,0.0007803259,0.0003573034,0.0009373833,0.001111679,0.003920896,0.0007618171,0.00132471,0.03036314],"category_scores_gemma":[0.0007959018,0.0001659033,0.0003129071,0.001511711,0.003506896,0.003574004,0.001764961,0.00263809,0.005796794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001904593,"about_ca_system_score_gemma":0.0009621057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001699396,"about_ca_topic_score_gemma":0.003175838,"domain_scores_codex":[0.9997436,0.00009834923,0.000009738756,0.00003612601,0.00008472284,0.00002740818],"domain_scores_gemma":[0.9997401,0.0001328427,0.0000127565,0.00003896146,0.00005123375,0.00002408992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004671908,0.00001492884,0.0000466586,0.0001437064,0.000004342372,0.00003971152,0.0006564063,0.0003573945,0.0001567861,0.8999937,0.048028,0.05055371],"study_design_scores_gemma":[0.000002501595,0.000009506341,0.0002546349,0.0002031486,0.00000421604,0.0001051286,0.0004472774,0.0003712982,0.0000989054,0.3996784,0.59882,0.000004889969],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001119126,0.0284452,0.005625919,0.005603671,0.0008753694,0.00002229764,0.00004123467,0.00004307782,0.9582242],"genre_scores_gemma":[0.09685775,0.06024128,0.01129545,0.00302342,0.002048882,0.0001589314,0.0002097251,0.00012929,0.8260353],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03036314,"threshold_uncertainty_score":0.1015748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2158558770625161,"score_gpt":0.5032598913508673,"score_spread":0.2874040142883512,"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."}}