{"id":"W4396620794","doi":"10.31234/osf.io/8p4vq","title":"Generalizability of Choice Architecture Interventions","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Generalizability theory; Psychological intervention; Choice architecture; Architecture; Psychology; Computer science; Social psychology; Geography; Developmental psychology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.4457945,0.002845485,0.006313823,0.006284504,0.002485999,0.007583081,0.005770721,0.005497736,0.01250822],"category_scores_gemma":[0.6514143,0.001961858,0.01677337,0.004276872,0.008400882,0.009103312,0.007630855,0.007086206,0.001276537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00645944,"about_ca_system_score_gemma":0.006505104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003753482,"about_ca_topic_score_gemma":0.003388323,"domain_scores_codex":[0.6151584,0.2470601,0.06180407,0.02695275,0.04700679,0.00201787],"domain_scores_gemma":[0.3088606,0.5315,0.03139229,0.09131384,0.03519822,0.001735075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006635385,0.001646611,0.06382668,0.1653902,0.05987379,0.0006143063,0.01572225,0.007561522,0.002403174,0.07247963,0.01892684,0.5849197],"study_design_scores_gemma":[0.008419367,0.01398765,0.2116927,0.1552215,0.07257482,0.001172206,0.01181571,0.01137636,0.01170472,0.2825128,0.2187925,0.0007297351],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1135442,0.2259994,0.3400066,0.03601079,0.01469995,0.1121563,0.01071417,0.002729621,0.144139],"genre_scores_gemma":[0.7504283,0.02156933,0.1099275,0.01584429,0.002000358,0.09133174,0.003371984,0.0006574996,0.004869039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4457945,"threshold_uncertainty_score":0.6834341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05969173309564235,"score_gpt":0.3176233673170739,"score_spread":0.2579316342214315,"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."}}