{"id":"W2901863036","doi":"10.2196/12577","title":"Medication Use for Childhood Pneumonia at a Children’s Hospital in Shanghai, China: Analysis of Pattern Mining Algorithms","year":2018,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Shanghai Science and Technology Development Foundation","keywords":"Pneumonia; Data mining; Computer science; Medicine; Medical record; Data science; Medical emergency; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00136916,0.000219089,0.000640633,0.0005812767,0.0004050941,0.00001111053,0.0004628508,0.0005840583,0.000920276],"category_scores_gemma":[0.00146574,0.0001869792,0.0001689097,0.001005094,0.000307179,0.0003626353,0.0002735609,0.0005968135,0.0001057958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003476697,"about_ca_system_score_gemma":0.0004603311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001251249,"about_ca_topic_score_gemma":0.007267531,"domain_scores_codex":[0.9956395,0.0001728616,0.002302736,0.0002141922,0.0009644456,0.0007062521],"domain_scores_gemma":[0.9968747,0.0009497876,0.0009178277,0.0005043646,0.0003418386,0.0004114228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002338934,0.0001867427,0.814606,0.0002114332,0.000188283,0.000001137886,0.1301392,0.000006133812,0.00000214896,0.0000786957,0.001947859,0.05260903],"study_design_scores_gemma":[0.0004412381,0.0003174916,0.8281108,0.0005175198,0.0001267122,0.000001376854,0.008835504,0.160905,0.00003414269,0.00007377138,0.0004331978,0.0002032828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903177,0.00002272294,0.005415531,0.001387993,0.0005822338,0.001862452,0.0001988798,0.00007655246,0.0001359178],"genre_scores_gemma":[0.9950421,0.00005308295,0.001777666,0.001625263,0.000457568,0.0005468387,0.000420852,0.00002677947,0.00004988046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1608988,"threshold_uncertainty_score":0.999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04960670389953543,"score_gpt":0.4224179444331129,"score_spread":0.3728112405335775,"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."}}