{"id":"W4231887961","doi":"10.1002/ped4.12033","title":"The father of Chinese modern pediatrics – Professor Futang Zhu","year":2018,"lang":"en","type":"article","venue":"Pediatric Investigation","topic":"Child and Adolescent Health","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Medical Sciences; Chinese Academy of Sciences; Peking Union Medical College; Academy of Medical Sciences","keywords":"China; Beijing; Medicine; General hospital; Medical school; State (computer science); Pediatrics; Family medicine; Political science; Law; Medical education","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001192326,0.0001643135,0.0001991597,0.0001213928,0.001337643,0.000009674721,0.0002404291,0.0001851003,0.00005314388],"category_scores_gemma":[0.0006698648,0.0001050014,0.00006074303,0.0007172098,0.0001565238,0.0001386525,0.0000975853,0.0004984857,0.0002379153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008368511,"about_ca_system_score_gemma":0.0006388374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005756952,"about_ca_topic_score_gemma":0.0001193318,"domain_scores_codex":[0.9977464,0.0004339659,0.0007046927,0.000242611,0.0003899235,0.0004824216],"domain_scores_gemma":[0.9978616,0.000592612,0.000603184,0.0003742464,0.0004001592,0.0001681928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004497402,0.00003929118,0.96975,0.0004263388,0.000005111054,3.447533e-7,0.01168397,0.000002301042,0.0001885839,0.002821473,0.01290466,0.002132886],"study_design_scores_gemma":[0.001795211,0.0002270613,0.9139631,0.00009425787,0.000119026,0.000001282001,0.001669231,0.00277425,0.00008922311,0.07262434,0.006191239,0.0004518057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905668,0.0008817902,0.0003583969,0.003413472,0.001782615,0.0009145231,0.00002001064,0.0001032945,0.001959084],"genre_scores_gemma":[0.9873436,0.0005893427,0.0003502063,0.001165646,0.009024012,0.0000168361,0.00002111437,0.00003302432,0.00145619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06980287,"threshold_uncertainty_score":0.9999625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0359953667907152,"score_gpt":0.3670543860647882,"score_spread":0.331059019274073,"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."}}