{"id":"W4403811438","doi":"10.1681/asn.202414e0v889","title":"Derivation and Validation of a Novel Automated Algorithm for Staging Infant Blood Pressures","year":2024,"lang":"en","type":"article","venue":"Journal of the American Society of Nephrology","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Queen's University; Hospital for Sick Children","funders":"","keywords":"Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005911195,0.0009174341,0.0009194086,0.002695924,0.0006443755,0.002183191,0.00152311,0.001187423,0.00148424],"category_scores_gemma":[0.02049514,0.0004450754,0.0007590248,0.001251677,0.0004294108,0.001139221,0.001154125,0.0009300839,0.0008640004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416215,"about_ca_system_score_gemma":0.002524668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007167337,"about_ca_topic_score_gemma":0.006256938,"domain_scores_codex":[0.9955189,0.001224939,0.0005947346,0.001099012,0.001409764,0.0001526527],"domain_scores_gemma":[0.9849387,0.004744839,0.001189651,0.0009548647,0.007934117,0.0002377387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001118571,0.0006622944,0.1579371,0.0003338594,0.0003663386,0.0002988164,0.0004972182,0.03314545,0.02547061,0.002071129,0.006695354,0.7714031],"study_design_scores_gemma":[0.0002916663,0.0006957121,0.07288677,0.0001566616,0.0002589005,0.001166872,0.0001935545,0.8947408,0.02157958,0.001454506,0.006457775,0.0001172663],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.232985,0.0006184462,0.757172,0.0003448567,0.0001834397,0.0009685784,0.001221299,0.003953899,0.002552347],"genre_scores_gemma":[0.2656364,0.0002082728,0.7307913,0.0001140568,0.0000619049,0.0007192589,0.001400638,0.0001626131,0.0009055624],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007167337,"threshold_uncertainty_score":0.0312618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299856618871175,"score_gpt":0.2617750416774078,"score_spread":0.2487764754886961,"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."}}