{"id":"W4283804153","doi":"10.1093/pch/pxac044","title":"Care maps: De-medicalizing children with medical complexity","year":2022,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Child and Adolescent Health","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation","funders":"","keywords":"Promotion (chess); Health care; Medical diagnosis; Nursing; Resource (disambiguation); Psychology; Medicine; Computer science","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003523312,0.0003698927,0.0007231926,0.000304099,0.007161579,0.0000146879,0.000764712,0.0002277927,0.002210052],"category_scores_gemma":[0.000424343,0.0003237883,0.0001411518,0.001035417,0.0001714406,0.00007782024,0.0007103195,0.005034835,0.0001139635],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001864102,"about_ca_system_score_gemma":0.00789615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002872992,"about_ca_topic_score_gemma":0.001346504,"domain_scores_codex":[0.991743,0.002219853,0.001143911,0.0007630289,0.002097827,0.002032385],"domain_scores_gemma":[0.9962065,0.0005134221,0.0006469053,0.0006456414,0.0001239662,0.001863605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001203889,0.0003863306,0.8714474,0.0007639958,0.00003979121,0.00002821201,0.01895993,0.00002665602,7.188339e-8,0.008648162,0.08592638,0.01365266],"study_design_scores_gemma":[0.007170114,0.0009277396,0.7951645,0.0007774458,0.00006351114,0.0002056141,0.02322972,0.0001871931,3.754261e-7,0.0009741512,0.1704943,0.0008054145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6068338,0.03895307,0.004138682,0.2991053,0.005995001,0.01147201,0.003726871,0.002577466,0.02719777],"genre_scores_gemma":[0.9062399,0.002219974,0.001160384,0.08447772,0.004253654,0.00007302684,0.001369084,0.0001154468,0.00009079232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2994061,"threshold_uncertainty_score":0.9999214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03742107246755966,"score_gpt":0.3661537373660186,"score_spread":0.328732664898459,"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."}}