{"id":"W3023420750","doi":"10.1093/aje/kwaa069","title":"A Snapshot of Doctoral Training in Epidemiology: Positioning Us for the Future","year":2020,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snapshot (computer storage); Epidemiology; Training (meteorology); Medicine; Computer science; Geography; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01523264,0.0003137636,0.0004693994,0.002777508,0.003056795,0.005517975,0.0009057917,0.002038511,0.008318248],"category_scores_gemma":[0.02144054,0.0004435204,0.0003995678,0.003292658,0.001081321,0.00650754,0.006041586,0.004735769,0.001818177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004831514,"about_ca_system_score_gemma":0.02303745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01797017,"about_ca_topic_score_gemma":0.06405139,"domain_scores_codex":[0.993644,0.002488865,0.0004963332,0.0004022097,0.001082522,0.001886025],"domain_scores_gemma":[0.9666685,0.003472545,0.001772721,0.0009914535,0.006808312,0.02028647],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004533073,0.0003452443,0.09315236,0.002504118,0.00006659739,0.0006398881,0.01768566,0.0004800832,0.002644302,0.01990606,0.3152602,0.5468621],"study_design_scores_gemma":[0.0000472042,0.0005556675,0.2535437,0.003403828,0.0000456999,0.001067022,0.05185816,0.0003064254,0.0009713317,0.008491248,0.6795896,0.0001200715],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.142627,0.08138809,0.007319144,0.707768,0.006507823,0.000219769,0.005668875,0.0006348115,0.04786653],"genre_scores_gemma":[0.7898269,0.08696521,0.03571105,0.05854467,0.002338213,0.0005199565,0.005360421,0.0003113056,0.02042225],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9847674,"threshold_uncertainty_score":0.08055884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3174819139150709,"score_gpt":0.5007682548834871,"score_spread":0.1832863409684162,"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."}}