{"id":"W4361211735","doi":"10.1093/pch/pxac080","title":"The promises and challenges of clinical AI in community paediatric medicine","year":2023,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Ottawa; Canadian Institute for Advanced Research; University of Alberta; York University; Hospital for Sick Children; University Health Network; University of Toronto","funders":"Canadian Institutes of Health Research; Hospital for Sick Children; Sick Kids Foundation; Genome Canada","keywords":"Reimbursement; Health care; Context (archaeology); Workflow; Point of care; Quality (philosophy); Knowledge management; Medicine; Computer science; Nursing; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04787317,0.0003825983,0.0005785236,0.001896165,0.00655635,0.0200836,0.002737351,0.006850088,0.005493501],"category_scores_gemma":[0.0527396,0.0007176436,0.0006704665,0.001831844,0.02206712,0.02173474,0.01277585,0.009609461,0.001312036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00606358,"about_ca_system_score_gemma":0.01220675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004349081,"about_ca_topic_score_gemma":0.005927705,"domain_scores_codex":[0.9681759,0.02353248,0.001119098,0.00140243,0.004165303,0.001604823],"domain_scores_gemma":[0.9133086,0.06463351,0.003520451,0.004393563,0.005880651,0.008263221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001186003,0.0001718341,0.008033545,0.0008585078,0.00004287809,0.0007421423,0.01011566,0.00497985,0.0006802796,0.7935339,0.02606727,0.1546556],"study_design_scores_gemma":[0.00003934639,0.0001767631,0.004678303,0.001444389,0.00002198421,0.001072082,0.01921912,0.007336481,0.0005616443,0.7635525,0.2017659,0.0001315027],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02803154,0.02295805,0.04890672,0.8374053,0.001076153,0.0001013941,0.0001349231,0.0001978362,0.06118808],"genre_scores_gemma":[0.8430952,0.02880275,0.08327886,0.03597677,0.003541908,0.000476051,0.0001716893,0.0001474747,0.004509381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04787317,"threshold_uncertainty_score":0.2531806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1442412778284658,"score_gpt":0.4862915516723215,"score_spread":0.3420502738438557,"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."}}