{"id":"W4391251497","doi":"10.3390/electronics13030512","title":"Artificial Intelligence and Pediatrics: Synthetic Knowledge Synthesis","year":2024,"lang":"en","type":"article","venue":"Electronics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scopus; Artificial intelligence; China; Medical diagnosis; Computer science; Data science; MEDLINE; Medicine; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00608364,0.0006413144,0.0008371346,0.01856506,0.001031442,0.005012543,0.001067105,0.0008345418,0.01015615],"category_scores_gemma":[0.02301878,0.0003264591,0.001074038,0.02046833,0.001400512,0.003052444,0.003157991,0.0007718105,0.001128634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001975887,"about_ca_system_score_gemma":0.003931275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003137529,"about_ca_topic_score_gemma":0.004438695,"domain_scores_codex":[0.994186,0.003243344,0.000765538,0.0005593162,0.001084446,0.0001613425],"domain_scores_gemma":[0.9786034,0.01853132,0.0008287223,0.0007822053,0.001090091,0.0001642264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005955668,0.0003051842,0.009225842,0.03183243,0.0005023701,0.001619678,0.01476527,0.02222404,0.003924643,0.248524,0.03845445,0.6280265],"study_design_scores_gemma":[0.0002063959,0.0003853198,0.01103497,0.01312862,0.0005739031,0.000792787,0.02321813,0.03283722,0.007395354,0.2675574,0.6426958,0.0001741857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2228279,0.05476972,0.4333391,0.007768108,0.001084845,0.005864665,0.1120308,0.001730731,0.160584],"genre_scores_gemma":[0.4222734,0.02489332,0.4779783,0.0008626091,0.000360827,0.007879116,0.05668057,0.0003575577,0.008714332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01856506,"threshold_uncertainty_score":0.03397572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09590508936057167,"score_gpt":0.3929178317796778,"score_spread":0.2970127424191061,"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."}}