{"id":"W2791159023","doi":"10.1177/2292550317749507","title":"How Competitive Is Plastic Surgery? An Analysis of the Canadian and American Residency Match","year":2018,"lang":"en","type":"article","venue":"Plastic Surgery","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Izaak Walton Killam Health Centre; Dalhousie University","funders":"","keywords":"Medicine","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":[0.004414927,0.0003241595,0.0006141575,0.00885229,0.004109033,0.002201753,0.001962137,0.0005365469,0.004148235],"category_scores_gemma":[0.02137255,0.0002500985,0.000702054,0.02426095,0.001048133,0.0008336735,0.002252856,0.0009237824,0.000483595],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03099601,"about_ca_system_score_gemma":0.04928461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9818194,"about_ca_topic_score_gemma":0.9877148,"domain_scores_codex":[0.9928128,0.0004298473,0.0003399767,0.000576526,0.004460046,0.001380794],"domain_scores_gemma":[0.9793467,0.001783795,0.00310786,0.0004755736,0.01209563,0.003190477],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001447053,0.00003575881,0.9600626,0.0001215401,0.0001268443,0.00008370715,0.002430882,0.0002508731,0.0001103098,0.001410531,0.01269888,0.02252335],"study_design_scores_gemma":[0.000005182,0.00002518282,0.9806089,0.00008032536,0.00004517893,0.00005931611,0.005590962,0.0007422495,0.00006928244,0.0001186096,0.01262827,0.00002668153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9390303,0.001732995,0.0008163246,0.002466199,0.0001539837,0.0001912387,0.02584939,0.0000459007,0.02971354],"genre_scores_gemma":[0.9843252,0.00114052,0.0009688334,0.0004585854,0.00004818142,0.00009737501,0.01012477,0.00003309368,0.002803435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9955851,"threshold_uncertainty_score":0.2248929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03046575267807423,"score_gpt":0.2582023154441057,"score_spread":0.2277365627660315,"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."}}