{"id":"W2940575499","doi":"10.3138/jvme.0218-017r1","title":"The Financial Life of Aspiring Veterinarians","year":2019,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial literacy; Debt; Finance; Commit; Depression (economics); Loan; Student loan; Credit card; Path analysis (statistics); Psychology; Stress (linguistics); Medical education; Medicine; Business; Economics; Payment","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":[0.0005415342,0.0001014275,0.0001438411,0.0004395596,0.0009564798,0.001478636,0.0001965839,0.000480037,0.005530691],"category_scores_gemma":[0.002929827,0.00008924298,0.0001263279,0.0003415729,0.0004042072,0.0005372087,0.0007553473,0.0005777535,0.0006165399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004921244,"about_ca_system_score_gemma":0.0006609575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003018083,"about_ca_topic_score_gemma":0.007448542,"domain_scores_codex":[0.9996036,0.000116245,0.00002676599,0.00002246551,0.00009037823,0.0001405712],"domain_scores_gemma":[0.9977258,0.0001942165,0.0006947723,0.00004558507,0.0001753509,0.001164382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003759724,0.000208147,0.9722926,0.00002554049,0.00001851555,0.000307143,0.003164565,0.0000684552,0.0004053019,0.0003038716,0.00248567,0.02068245],"study_design_scores_gemma":[0.00000532613,0.0002876865,0.974094,0.00005155686,0.000008066835,0.0004643062,0.01856507,0.000154331,0.0001003004,0.0003023333,0.005956001,0.00001108182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957958,0.0002623877,0.00003259517,0.001300512,0.00001993575,0.000005114556,0.00006677498,0.000001564762,0.002515294],"genre_scores_gemma":[0.9981906,0.0003054203,0.00004347035,0.0002832083,0.00002175304,0.0000041124,0.00006559973,5.342566e-7,0.001085189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005530691,"threshold_uncertainty_score":0.018502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.231108965354891,"score_gpt":0.4770321923038183,"score_spread":0.2459232269489272,"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."}}