{"id":"W3201082651","doi":"10.4309/jgi.2021.48.11","title":"Temporal Measurement Invariance of the Financially Focused Self-Concept Construct","year":2021,"lang":"en","type":"article","venue":"Journal of Gambling Issues","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Psychology; Measurement invariance; Construct (python library); Scale (ratio); Sample (material); Invariant (physics); Index (typography); Core (optical fiber); Construct validity; Social psychology; Developmental psychology; Psychometrics; Mathematics; Statistics; Structural equation modeling; Computer science; Confirmatory factor analysis; Geography; Physics; Cartography; Mathematical physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001232584,0.0001883283,0.0005238435,0.000206304,0.0001703669,0.0001907691,0.0004502178,0.00007266161,0.0002184182],"category_scores_gemma":[0.001168532,0.0001376583,0.0003693824,0.0009544626,0.00008069622,0.000791257,0.0001680278,0.0002329952,0.00001408839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000702164,"about_ca_system_score_gemma":0.0003213031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001796978,"about_ca_topic_score_gemma":0.0001831844,"domain_scores_codex":[0.9973856,0.00005354292,0.0009650581,0.0001853492,0.001184977,0.0002254647],"domain_scores_gemma":[0.9953937,0.00003843711,0.001573926,0.0003174242,0.002660122,0.00001638748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001233301,0.0003622514,0.9608778,0.0002854504,0.0001895788,0.0001382622,0.0008470035,0.0003580886,0.01090669,0.01059328,0.01213408,0.003184204],"study_design_scores_gemma":[0.00483964,0.0001348863,0.5553043,0.003539239,0.001637613,0.00007072707,0.0008803584,0.001685392,0.04883072,0.01227273,0.3697523,0.001052071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923455,0.002950049,0.0002150719,0.00185444,0.001317855,0.0001446952,0.000001937374,0.00002804456,0.00114238],"genre_scores_gemma":[0.9930722,0.00005205335,0.004720102,0.0005179262,0.00143733,0.000001011157,0.000002005778,0.00002019159,0.0001771996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4055735,"threshold_uncertainty_score":0.561354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07085772567593868,"score_gpt":0.2732041874340458,"score_spread":0.2023464617581071,"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."}}