{"id":"W4399527564","doi":"10.3390/jrfm17060241","title":"ChatGPT, Help! I Am in Financial Trouble","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Viewpoints; Advice (programming); Finance; Point (geometry); Strengths and weaknesses; Quality (philosophy); Public relations; Business; Computer science; Psychology; Political science; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003145685,0.0004562444,0.0002964948,0.001094011,0.002093121,0.002100969,0.0009779329,0.001487267,0.03908882],"category_scores_gemma":[0.04553934,0.0002850292,0.0002994096,0.0007130067,0.0009914403,0.003976787,0.002510698,0.002021616,0.01613931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008184099,"about_ca_system_score_gemma":0.001071012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001602599,"about_ca_topic_score_gemma":0.004719843,"domain_scores_codex":[0.997035,0.001875647,0.0001429113,0.0002047922,0.0004665645,0.0002751746],"domain_scores_gemma":[0.9725707,0.01847444,0.001913179,0.001542228,0.002409534,0.003089784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003604839,0.0006290758,0.0395989,0.001374063,0.00004199616,0.005154465,0.1369046,0.0006306382,0.00448249,0.006252259,0.3865889,0.4179823],"study_design_scores_gemma":[0.00009237669,0.0008632057,0.03181077,0.001711865,0.00007432528,0.006305295,0.1323216,0.003631865,0.003043815,0.006450135,0.813499,0.000195732],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6212728,0.002445187,0.03761337,0.03528048,0.002677606,0.001030311,0.002566242,0.008163711,0.2889503],"genre_scores_gemma":[0.8423079,0.002179902,0.04107961,0.009329109,0.0006425787,0.0008951073,0.001651986,0.0009958463,0.1009181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03908882,"threshold_uncertainty_score":0.1307651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006857361950034463,"score_gpt":0.2107317535330357,"score_spread":0.2038743915830012,"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."}}