{"id":"W2319101203","doi":"10.1037/a0033902","title":"The validity of well-being measures: A multiple-indicator–multiple-rater model.","year":2013,"lang":"en","type":"article","venue":"Psychological Assessment","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Life satisfaction; Convergent validity; Well-being; Subjective well-being; Incremental validity; Variance (accounting); Social psychology; Test validity; Affect (linguistics); Psychometrics; Developmental psychology; Happiness; Internal consistency","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3442837,0.002764275,0.003071139,0.006872804,0.001992377,0.005264951,0.00382798,0.002489018,0.001306712],"category_scores_gemma":[0.5203784,0.001884993,0.003917067,0.007314035,0.008020711,0.007375653,0.005290829,0.004688515,0.001346978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003701089,"about_ca_system_score_gemma":0.004321244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004565773,"about_ca_topic_score_gemma":0.003282598,"domain_scores_codex":[0.6660555,0.2758365,0.01191336,0.01601706,0.02905753,0.001120122],"domain_scores_gemma":[0.5419926,0.3615607,0.02649833,0.0318786,0.03678621,0.001283488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001073385,0.000617635,0.3804007,0.003952081,0.01153109,0.0003510138,0.01554878,0.02222297,0.001454749,0.1240585,0.009496019,0.4292932],"study_design_scores_gemma":[0.0008575903,0.003531309,0.2722407,0.006256354,0.003216738,0.001463126,0.004038779,0.3354117,0.002901352,0.3308989,0.03837975,0.0008037821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05182428,0.01051034,0.908855,0.004433471,0.00104556,0.00665228,0.0008983957,0.0004312855,0.01534935],"genre_scores_gemma":[0.5954809,0.003374683,0.3864718,0.00125187,0.0005973572,0.009724231,0.00138592,0.0002783927,0.001434771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3442837,"threshold_uncertainty_score":0.808615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06107385780853051,"score_gpt":0.3700364657884271,"score_spread":0.3089626079798966,"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."}}