{"id":"W4407152682","doi":"10.1177/01461672241312570","title":"Human Values Across the Lifespan: Age-Graded Differences at Three Hierarchical Levels and What We Can Learn From Them","year":2025,"lang":"en","type":"article","venue":"Personality and Social Psychology Bulletin","topic":"Identity, Memory, and Therapy","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Economic and Social Research Council; Cambridge Trust","keywords":"Flourishing; Psychology; Personality; Construct (python library); Big Five personality traits; Social psychology; Value (mathematics); Replicate; Multilevel model; Developmental psychology; Computer science; Statistics","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":[0.00189296,0.0001490787,0.0001925173,0.001166178,0.000446565,0.001531481,0.0003277395,0.0002572121,0.001241963],"category_scores_gemma":[0.008160092,0.0001315712,0.0002024801,0.0008634816,0.001824729,0.002422997,0.001062613,0.0007920408,0.0001175788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007462779,"about_ca_system_score_gemma":0.0005511661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004916495,"about_ca_topic_score_gemma":0.008130087,"domain_scores_codex":[0.9994649,0.000212383,0.00003250114,0.0001066424,0.0001149178,0.00006854379],"domain_scores_gemma":[0.9960549,0.001215007,0.0008965596,0.0006323081,0.0006270118,0.0005741741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009778584,0.00006239391,0.8180981,0.00008715969,0.00009522013,0.0001166468,0.02477716,0.001003883,0.0015564,0.0200184,0.001031481,0.1330553],"study_design_scores_gemma":[0.000002318576,0.0001128916,0.9690656,0.00005236038,0.00001122724,0.0001006876,0.007279975,0.0009646474,0.0003952197,0.01910747,0.002887415,0.00002014976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893393,0.000939963,0.003303165,0.0008796193,0.00001775862,0.00001015663,0.0001841655,0.00002034487,0.005305415],"genre_scores_gemma":[0.9981796,0.0002032584,0.001298149,0.00003367813,0.000004395828,0.000004779112,0.00006210859,0.000002967798,0.0002111667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004916495,"threshold_uncertainty_score":0.01001102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09991535708987985,"score_gpt":0.3861016169215004,"score_spread":0.2861862598316205,"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."}}