{"id":"W4392545100","doi":"10.1371/journal.pone.0294651","title":"Effectiveness of rural internships for veterinary students to combat veterinary workforce shortages in rural areas","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Internship; Workforce; Veterinary medicine; Rural area; Medicine; Work (physics); Economic shortage; Livestock; Animal welfare; Animal health; Public health; Medical education; Government (linguistics); Nursing; Economic growth; Geography; Engineering","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":[0.006012455,0.0001818653,0.0002953795,0.0003879302,0.0004437998,0.0007215312,0.0006313921,0.0005493333,0.003070752],"category_scores_gemma":[0.02191107,0.00009842304,0.0003178407,0.0003137124,0.0005235431,0.0005443819,0.001473831,0.0006178115,0.0003339199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009515161,"about_ca_system_score_gemma":0.002861846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003058807,"about_ca_topic_score_gemma":0.005913577,"domain_scores_codex":[0.9972078,0.001687683,0.0001080406,0.0002300617,0.0002466292,0.000519647],"domain_scores_gemma":[0.9732317,0.01110759,0.005136727,0.0007168696,0.001233749,0.008573444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002703599,0.00548922,0.8181245,0.0004943133,0.000245117,0.000183347,0.003885251,0.002949222,0.001351361,0.0004626352,0.001763419,0.1623481],"study_design_scores_gemma":[0.0001232408,0.004387831,0.9892063,0.0001404151,0.00006160305,0.00003976186,0.003408337,0.001049267,0.0002443266,0.0001597251,0.001170225,0.00000897061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980574,0.0002820405,0.0001428078,0.0003710479,0.00002238582,0.00003690063,0.00005565158,0.000007596922,0.001024205],"genre_scores_gemma":[0.9994673,0.00007574898,0.0001013836,0.0000528733,0.00001448955,0.00002276953,0.00003177819,9.579926e-7,0.0002325236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006012455,"threshold_uncertainty_score":0.03179729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1578353217236977,"score_gpt":0.4661970488045424,"score_spread":0.3083617270808447,"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."}}