{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001056949,0.0001036339,0.0004069586,0.0004656552,0.0006590658,0.0001209581,0.0002435172,0.00005858526,0.000391755],"category_scores_gemma":[0.008485188,0.00008477712,0.000132267,0.001673943,0.00226117,0.0001512473,0.00004499636,0.00009572134,0.00000802854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001098399,"about_ca_system_score_gemma":0.0009198888,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.439551,"about_ca_topic_score_gemma":0.8882773,"domain_scores_codex":[0.998246,0.0002805113,0.0001629349,0.0002325839,0.0007137624,0.0003642552],"domain_scores_gemma":[0.9845939,0.0144587,0.0001586672,0.0001980674,0.0002555689,0.0003350738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001601291,0.00001563237,0.9862315,0.000007963475,0.0001986131,0.00001187922,0.006355862,0.000002015212,0.000005083027,0.001140134,0.005351953,0.0006633672],"study_design_scores_gemma":[0.00003243738,0.00002253682,0.960783,0.00005652637,0.0005001433,5.912665e-7,0.03213961,0.0001717669,0.00001776716,0.00005441915,0.006091498,0.0001297137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938514,0.0000291222,0.00003064173,0.002560917,0.002112649,0.00004223135,0.00008216811,0.00001726399,0.001273595],"genre_scores_gemma":[0.9992868,0.00004833584,0.00001018162,0.000235677,0.000223475,0.000001755035,0.000009854054,0.000005533005,0.0001784048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4487263,"threshold_uncertainty_score":0.9998668,"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."}}