{"id":"W4210553844","doi":"10.1371/journal.pone.0263106","title":"Effects of age, gender, and hemisphere on cerebrovascular hemodynamics in children and young adults: Developmental scores and machine learning classifiers","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Russian Science Foundation","keywords":"Hemodynamics; Gestational age; Blood pressure; Medicine; Middle cerebral artery; Diastole; Cerebral arteries; Ultrasound; Internal medicine; Ultrasonography; Artificial intelligence; Machine learning; Cardiology; Radiology; Computer science; Pregnancy; Biology; Ischemia","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":[0.001975264,0.0004663348,0.0003180426,0.00156046,0.0002655744,0.0007194586,0.0003212628,0.000517654,0.001594029],"category_scores_gemma":[0.007536327,0.0001510965,0.0006005384,0.0007746237,0.0003808209,0.0007871035,0.0005804531,0.0005289841,0.0003723962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003303564,"about_ca_system_score_gemma":0.0003010988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004155948,"about_ca_topic_score_gemma":0.004684754,"domain_scores_codex":[0.999356,0.0001770982,0.00008155873,0.0001427759,0.0001670219,0.00007547159],"domain_scores_gemma":[0.9949781,0.002585355,0.001189019,0.0003120069,0.0005159257,0.000419426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001206874,0.00003269814,0.9940455,0.000007201787,0.00005030682,0.00004169723,0.000111468,0.0001636901,0.0001645509,0.00003730326,0.0001104008,0.00511437],"study_design_scores_gemma":[0.000002468367,0.0001033723,0.9981616,0.000007302945,0.00002128673,0.00008502325,0.0001738817,0.001091721,0.0001488108,0.00009312471,0.0001064964,0.000004977949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984395,0.0001987039,0.0003416993,0.00005066131,0.000008547269,0.000008105144,0.0002848996,0.00001116244,0.0006566544],"genre_scores_gemma":[0.9988179,0.0001084176,0.0004880318,0.00001129438,0.000007616317,0.00001389654,0.0003543841,0.000006406307,0.0001920837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004155948,"threshold_uncertainty_score":0.01044637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230081366716927,"score_gpt":0.20785904090786,"score_spread":0.1955582272406907,"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."}}