{"id":"W4286545304","doi":"10.2196/34768","title":"Digital Biomarkers for Well-being Through Exergame Interactions: Exploratory Study","year":2022,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytics; Computer science; Set (abstract data type); Applied psychology; Test (biology); Categorization; Exploratory research; Human–computer interaction; Population; Digital health; Game play; Data science; Psychology; Artificial intelligence; Medicine; Health care","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003208635,0.000168417,0.000211796,0.0001624879,0.001259333,0.0001652112,0.0005554484,0.00005965943,0.0002279075],"category_scores_gemma":[0.0001599422,0.0001890735,0.0001026813,0.0005516163,0.000231111,0.0008762982,0.0002899342,0.0002437804,0.00005081558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002995889,"about_ca_system_score_gemma":0.0001450471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001638733,"about_ca_topic_score_gemma":0.001512401,"domain_scores_codex":[0.9983158,0.0001518876,0.0002688414,0.0004391104,0.0003726043,0.0004517679],"domain_scores_gemma":[0.9991822,0.0001948672,0.0001420343,0.0003463953,0.00006797484,0.00006649684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004986424,0.003043547,0.03519995,0.00005250052,0.0007214225,0.0001482762,0.6399232,0.00003413864,0.0006857598,0.007304099,0.1073313,0.2050571],"study_design_scores_gemma":[0.0006356556,0.0003476992,0.001113417,0.00001028846,0.0000175425,0.00000470222,0.3218303,0.00001014652,0.00007986469,0.002861626,0.6728552,0.0002335336],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693187,0.0001676205,0.0001021133,0.003026554,0.001487963,0.002512763,0.00003049625,0.001025755,0.02232798],"genre_scores_gemma":[0.9929072,0.00001897444,0.0002031002,0.0002587835,0.0001352507,0.002779572,0.00001167252,0.00003779863,0.003647602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5655239,"threshold_uncertainty_score":0.9685898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788358986819251,"score_gpt":0.3152316648872172,"score_spread":0.2973480750190247,"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."}}