{"id":"W4398755683","doi":"10.1257/pandp.20241031","title":"Teaching-Track Economists in Canada, the United Kingdom, and the United States","year":2024,"lang":"en","type":"article","venue":"AEA Papers and Proceedings","topic":"Innovations in Educational Methods","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Kingdom; Track (disk drive); Fast track; Political science; Engineering; Medicine; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008570364,0.0002687241,0.0005691875,0.003196982,0.01123682,0.007598236,0.001356215,0.001382495,0.006285332],"category_scores_gemma":[0.01987959,0.0003430077,0.0002318079,0.009911283,0.003705013,0.002133037,0.003870496,0.002227751,0.0005315497],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07277681,"about_ca_system_score_gemma":0.1500624,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9237525,"about_ca_topic_score_gemma":0.9798901,"domain_scores_codex":[0.992773,0.001636398,0.0001719252,0.0005649045,0.001364327,0.003489457],"domain_scores_gemma":[0.9692321,0.008801453,0.002619976,0.0006747144,0.005792162,0.01287945],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006901099,0.0007843957,0.4730519,0.0005672446,0.00009867344,0.001820078,0.1062023,0.002723549,0.001435368,0.158075,0.04155736,0.212994],"study_design_scores_gemma":[0.00008979207,0.0001708333,0.445178,0.0007436698,0.00005680911,0.0001655204,0.2622581,0.001573956,0.001490983,0.007878546,0.2802659,0.0001278777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9080628,0.00576074,0.004290285,0.01537661,0.0003946615,0.000306388,0.001148358,0.00009416216,0.06456594],"genre_scores_gemma":[0.9683865,0.002547948,0.002101737,0.002748748,0.0000422607,0.000110104,0.0003432121,0.00003641728,0.0236831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9914296,"threshold_uncertainty_score":0.5280352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02760744083363868,"score_gpt":0.3308426992677336,"score_spread":0.3032352584340949,"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."}}