{"id":"W4200138235","doi":"10.33423/jabe.v23i7.4866","title":"Human Capital Investments Among Veterinarians","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Veterinary Practice and Education Studies","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boom; Bust; Earnings; Economics; Volatility (finance); Labour economics; Scarcity; Proxy (statistics); Human capital; Economic shortage; Demographic economics; Microeconomics; Market economy; Financial economics; Government (linguistics); Finance","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":[0.0006636455,0.00007574272,0.0001148353,0.0006699842,0.000266175,0.0006508717,0.0002357741,0.0003662498,0.004423354],"category_scores_gemma":[0.005516837,0.0001224484,0.00012341,0.0004912302,0.0001773649,0.0003439511,0.000470583,0.0004494486,0.0005710731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005942661,"about_ca_system_score_gemma":0.000623744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006918673,"about_ca_topic_score_gemma":0.01116475,"domain_scores_codex":[0.9996886,0.0000664591,0.00001873114,0.0000573402,0.00005339238,0.000115453],"domain_scores_gemma":[0.9966047,0.0009996777,0.001374485,0.0001298747,0.0001657897,0.0007255318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000375927,0.00006279097,0.9930037,0.000004045205,0.000008146826,0.00003207064,0.0002631731,0.0001562708,0.0001186481,0.00009438706,0.0002639729,0.005955269],"study_design_scores_gemma":[0.000002434404,0.00003396125,0.9983414,0.000005873455,0.000002644512,0.00003724432,0.0005994384,0.0004894254,0.00004698654,0.0001352302,0.0003036422,0.000001723537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993161,0.00006777216,0.00003196285,0.0001287452,0.000001203123,0.000001768886,0.0001475336,9.64152e-7,0.0003039177],"genre_scores_gemma":[0.9992545,0.00004237861,0.00002448794,0.00001968914,0.000003558324,0.000002046166,0.0001565932,3.871454e-7,0.0004963732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006918673,"threshold_uncertainty_score":0.01479757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1445805998352617,"score_gpt":0.3933883796108747,"score_spread":0.248807779775613,"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."}}