{"id":"W4413055945","doi":"10.2196/73713","title":"A Digital Tool for Assessing Well-Being at the Workplace and in Personal Life: Development and Validation of the Quan Well-Being Index","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Development (topology); Computer science; Psychology; Mathematics; World Wide Web","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":[0.006853144,0.0004220862,0.0004698639,0.00341291,0.0004863973,0.001000866,0.0006906043,0.0004838495,0.003071799],"category_scores_gemma":[0.01108937,0.0002647912,0.000826247,0.001675582,0.0004226489,0.001147605,0.001798684,0.0007235339,0.0007101937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006733696,"about_ca_system_score_gemma":0.001104227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001412595,"about_ca_topic_score_gemma":0.003821774,"domain_scores_codex":[0.9958104,0.001213811,0.0007659636,0.0003479897,0.001696925,0.0001649494],"domain_scores_gemma":[0.9917012,0.00242775,0.001810196,0.000537215,0.002926862,0.0005967288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000550326,0.001124912,0.3961193,0.0009143144,0.0001909297,0.0001549539,0.002797145,0.001576077,0.006667574,0.002452462,0.006444672,0.5810074],"study_design_scores_gemma":[0.00009653201,0.001560456,0.9530482,0.0004108117,0.0001212482,0.0006335782,0.001600224,0.005673574,0.003979419,0.001791015,0.0309725,0.0001124866],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8954767,0.001687589,0.05510019,0.0007814252,0.0003179594,0.009021646,0.004630756,0.0004307611,0.03255291],"genre_scores_gemma":[0.7772449,0.001401074,0.197199,0.0004787651,0.0001246088,0.01244131,0.003971285,0.00009275321,0.007046152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006853144,"threshold_uncertainty_score":0.03624332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04112078449808991,"score_gpt":0.4042328278884227,"score_spread":0.3631120433903328,"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."}}