{"id":"W4365146525","doi":"10.1057/s41267-023-00623-0","title":"Correction: Modeling the antecedents of multigenerational services adoption behavior of clients across countries: The role of mindset metrics","year":2023,"lang":"en","type":"article","venue":"Journal of International Business Studies","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Mindset; International business; Psychology; Economics; Positive economics; Marketing; Management; Business; Computer science","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":[0.001275199,0.000086713,0.000211884,0.0001791918,0.0003787677,0.00004272063,0.0004495358,0.0000470604,0.00001314611],"category_scores_gemma":[0.0005560836,0.00005476055,0.0001301537,0.0006496829,0.0002234797,0.0002773655,0.0001128141,0.00009732159,0.000001024972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001044937,"about_ca_system_score_gemma":0.0001349966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004540409,"about_ca_topic_score_gemma":0.001014995,"domain_scores_codex":[0.9978436,0.00007417188,0.000690603,0.00008262396,0.001193705,0.00011525],"domain_scores_gemma":[0.9923117,0.0003540268,0.0008941101,0.00007473366,0.006348792,0.00001662059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003205845,0.0004462214,0.4160814,0.0001450382,0.00156824,0.000006302918,0.07549847,0.477845,0.008204497,0.01460037,0.001274133,0.004009833],"study_design_scores_gemma":[0.001046244,0.0001387442,0.3129043,0.001111007,0.000281041,0.0000229257,0.3560208,0.3193045,0.002793168,0.001518185,0.004562886,0.0002962191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932423,0.001092748,0.0005232575,0.000643574,0.004074114,0.00009804877,0.00008429898,0.000004061693,0.0002375694],"genre_scores_gemma":[0.9955979,0.003625601,0.00009430357,0.00003627833,0.0004241992,0.000008268432,0.00001435867,0.000006009754,0.0001931053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2805223,"threshold_uncertainty_score":0.2913214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197525388025027,"score_gpt":0.3528897907814279,"score_spread":0.3209145369011777,"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."}}