{"id":"W2914773809","doi":"10.1016/j.jpedsurg.2019.01.045","title":"Optimizing postoperative follow-up in pediatric surgery (OFIPS)","year":2019,"lang":"en","type":"article","venue":"Journal of Pediatric Surgery","topic":"Appendicitis Diagnosis and Management","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Medicine; Pediatric surgery; General surgery; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002445237,0.0002784742,0.001237722,0.002108998,0.00004790856,0.0000475309,0.0001356424,0.0001485856,0.0006909962],"category_scores_gemma":[0.0008119335,0.0002335774,0.000732439,0.001138571,0.00001833494,0.0004150085,0.00007859319,0.0005248454,0.0001744533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000217966,"about_ca_system_score_gemma":0.0006412044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002894309,"about_ca_topic_score_gemma":0.000007296313,"domain_scores_codex":[0.9967668,0.0001627334,0.001438954,0.0002958889,0.0008030752,0.0005325711],"domain_scores_gemma":[0.9960634,0.002193462,0.0009064731,0.0002680863,0.0002867641,0.0002818259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002273042,0.0002775203,0.8599883,0.0001585605,0.00006537869,0.000987705,0.0002083416,0.00007596258,0.00002171484,0.00001962634,0.1358104,0.002159164],"study_design_scores_gemma":[0.003625773,0.0003986956,0.983935,0.0002687805,0.0009372249,0.0002258627,0.0009116575,0.00006577042,0.0001374184,0.00004956031,0.008794322,0.0006499328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878061,0.005617674,0.00006009023,0.001150008,0.003800472,0.0003192278,0.000003353115,0.00002175056,0.001221353],"genre_scores_gemma":[0.975865,0.01769846,0.0003712781,0.0008433522,0.004626402,0.000009126597,0.000009398385,0.00004806803,0.0005288992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1270161,"threshold_uncertainty_score":0.9525011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816752353078127,"score_gpt":0.2680581014267139,"score_spread":0.2398905778959326,"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."}}