{"id":"W7020211751","doi":"","title":"Intention to use Robo-Advisors, considering the Behavioral Reasoning Theory, and moderating effect of prior knowledge and experience.","year":2024,"lang":"en","type":"other","venue":"Brock University Digital Repository (Brock University)","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Openness to experience; Structural equation modeling; Theory of planned behavior; Value (mathematics); Self-efficacy; Survey data collection","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":[0.003247719,0.0001374492,0.0001350074,0.0005520034,0.0002259022,0.001311533,0.0002445112,0.0004549048,0.004163027],"category_scores_gemma":[0.02239656,0.00008455005,0.0004043309,0.0004108822,0.0004244806,0.001036907,0.0005850515,0.0007673955,0.0002960214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004454434,"about_ca_system_score_gemma":0.0008843118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003313399,"about_ca_topic_score_gemma":0.006241623,"domain_scores_codex":[0.9987994,0.0006221753,0.0000811538,0.0001094757,0.0002405489,0.000147148],"domain_scores_gemma":[0.9784279,0.01637417,0.002805706,0.0005605148,0.0008118625,0.001019748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00019617,0.0006776919,0.9276274,0.0001479031,0.0001281639,0.0001681445,0.005090357,0.0006030021,0.0005422577,0.002930805,0.0004984702,0.06138966],"study_design_scores_gemma":[0.00002022374,0.0004425298,0.9793626,0.0002016451,0.0001988118,0.0001246683,0.008242538,0.004248205,0.0008046913,0.002707939,0.003612149,0.00003404213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905591,0.0001619737,0.001114453,0.0004952405,0.000009427973,0.00003366905,0.00007806234,0.000009554657,0.007538456],"genre_scores_gemma":[0.9987614,0.00007161791,0.0005167907,0.00004375691,0.000004179996,0.00001930291,0.00005141177,0.000001848089,0.0005297129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004163027,"threshold_uncertainty_score":0.01717579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358869625223127,"score_gpt":0.2309883511700427,"score_spread":0.2173996549178114,"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."}}