{"id":"W3125682745","doi":"10.1371/journal.pone.0054632","title":"Serotonergic Genotypes, Neuroticism, and Financial Choices","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"National Institute on Aging; FINRA Investor Education Foundation","keywords":"Neuroticism; Serotonin transporter; Allele; Serotonergic; Big Five personality traits; Personality; Trait; Psychology; Mediation; Cognition; Finance; Genotype; Biology; Genetics; Serotonin; Gene; Economics; Social psychology; Neuroscience","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":[0.0003202781,0.0001905301,0.0001570677,0.0004013373,0.0001792616,0.0004023717,0.00009569684,0.0002556681,0.001607368],"category_scores_gemma":[0.001495989,0.0001087095,0.0001546193,0.0002430349,0.0002483082,0.0001287872,0.0002483904,0.0002638844,0.00009578951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001140327,"about_ca_system_score_gemma":0.00009123654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002516708,"about_ca_topic_score_gemma":0.004106578,"domain_scores_codex":[0.9998716,0.00004711874,0.00001149432,0.00002345243,0.00002116537,0.00002519228],"domain_scores_gemma":[0.9989585,0.0002613353,0.0004656728,0.00005158253,0.00003165279,0.0002313544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002041352,0.00006191378,0.9950979,0.000006818669,0.00007227218,0.0001762524,0.0001177938,0.00007549224,0.001596548,0.00005869677,0.00003460356,0.002497443],"study_design_scores_gemma":[0.000001591907,0.00003671863,0.9997012,0.000001525605,0.000006312444,0.00006948814,0.00002838024,0.00006549032,0.00003889056,0.00003607717,0.00001326987,0.000001000997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997262,0.00004031923,0.00002479168,0.00001464304,8.262293e-7,9.400589e-7,0.00003258804,6.65662e-7,0.0001589916],"genre_scores_gemma":[0.9998177,0.00002354077,0.00002976,0.000005439219,0.000001216649,8.58881e-7,0.00002844196,2.320836e-7,0.00009298018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002516708,"threshold_uncertainty_score":0.005377173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243467962094588,"score_gpt":0.1861047516153133,"score_spread":0.1617579554058545,"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."}}