{"id":"W2170876888","doi":"10.3389/fpsyg.2014.00984","title":"Measuring hedonia and eudaimonia as motives for activities: cross-national investigation through traditional and Bayesian structural equation modeling","year":2014,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Norges Forskningsråd","keywords":"Structural equation modeling; Psychology; Pleasure; Factor analysis; Metric (unit); Eudaimonia; Bayesian probability; Statistics; Measurement invariance; Latent variable; Econometrics; Social psychology; Confirmatory factor analysis; Mathematics; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003577129,0.0001260866,0.0001433299,0.0002528831,0.0002297051,0.0002154543,0.00007912633,0.00009829766,0.00002031763],"category_scores_gemma":[0.0001264208,0.0001410766,0.00002860516,0.0001210853,0.0001593091,0.001252715,0.00001519703,0.00009861933,0.000003088606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003033342,"about_ca_system_score_gemma":0.00001448948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005217101,"about_ca_topic_score_gemma":0.00002413807,"domain_scores_codex":[0.9990458,0.00002635644,0.0002586849,0.000353825,0.0001593179,0.0001559645],"domain_scores_gemma":[0.9996299,0.00004241597,0.0001245718,0.00008641591,0.0001032827,0.00001342753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003067381,0.00006307448,0.7785704,0.0001880134,0.00004782145,5.051085e-7,0.0008173412,0.000523165,0.00203873,0.04851791,0.001352244,0.167574],"study_design_scores_gemma":[0.001382369,0.000007897553,0.3447827,0.00002764785,0.00002367272,0.000004461593,0.0001922922,0.2591134,0.0000244089,0.3936361,0.0006179723,0.0001870107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.841775,0.0001302148,0.1557542,0.0007052182,0.0008607708,0.0002446675,0.000006280946,0.00003854103,0.0004851536],"genre_scores_gemma":[0.992305,0.00002476695,0.006496256,0.0006834504,0.0002631361,0.0000808769,0.0001049847,0.00001474483,0.00002680251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4337877,"threshold_uncertainty_score":0.5752935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1077647398327032,"score_gpt":0.3149457654977275,"score_spread":0.2071810256650242,"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."}}