{"id":"W4375954843","doi":"10.1542/peds.2022-059143","title":"The Pediatrician Workforce in the United States and China","year":2023,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Child and Adolescent Health","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Workforce; Medicine; Workload; Context (archaeology); Health care; Nursing; Family medicine; Economic growth","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":[0.001295564,0.0001625161,0.0001386685,0.001314618,0.001113486,0.0008041192,0.000497575,0.0003111689,0.002413898],"category_scores_gemma":[0.00199214,0.0001442381,0.000159992,0.002073158,0.0005412189,0.0008281146,0.001551549,0.0003516099,0.0001253002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004040426,"about_ca_system_score_gemma":0.01289985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1163131,"about_ca_topic_score_gemma":0.1521684,"domain_scores_codex":[0.9992276,0.0001176027,0.000044951,0.00007890726,0.0001479356,0.0003830175],"domain_scores_gemma":[0.9983999,0.0001453835,0.0003135919,0.00003918454,0.0002251624,0.0008767709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000315139,0.00007184645,0.9553869,0.00008430808,0.00002033835,0.0003702003,0.009368409,0.0001997713,0.0003315383,0.002263179,0.003931957,0.02793991],"study_design_scores_gemma":[0.000006710106,0.00004378653,0.9846186,0.00005688326,0.000006030518,0.00008103661,0.008518904,0.0002867758,0.0000907393,0.0001249312,0.006159581,0.000006073997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930841,0.0006059671,0.00004714011,0.002606474,0.0000274094,0.00001535813,0.0003902308,0.000007549088,0.00321575],"genre_scores_gemma":[0.997618,0.0004485007,0.00008372934,0.0006088468,0.00001601881,0.00002250306,0.0002845151,0.000001996931,0.0009158337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1163131,"threshold_uncertainty_score":0.2312722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04387332428123272,"score_gpt":0.3852621927350253,"score_spread":0.3413888684537926,"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."}}