{"id":"W4391646021","doi":"10.2196/50642","title":"Predicting Hypoxia Using Machine Learning: Systematic Review","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Machine learning; Artificial intelligence; Population; Computer science; Medicine; Predictive modelling; MEDLINE; Systematic review; Comparability","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01298407,0.001955743,0.007899623,0.007118536,0.0005143191,0.002843014,0.002646133,0.002086991,0.004930196],"category_scores_gemma":[0.08406,0.0009735803,0.009525612,0.006820618,0.0008433954,0.00274571,0.001262999,0.001577347,0.0004955938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003681028,"about_ca_system_score_gemma":0.01154198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00825414,"about_ca_topic_score_gemma":0.01699249,"domain_scores_codex":[0.989268,0.004668984,0.003200719,0.00076753,0.001876192,0.0002185836],"domain_scores_gemma":[0.9263994,0.06272077,0.007133429,0.0007512688,0.002734073,0.0002611296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000141585,0.00001778167,0.001225818,0.9433755,0.01290359,0.00006385498,0.0000960733,0.0004699596,0.00004785487,0.0002415107,0.002166858,0.03924969],"study_design_scores_gemma":[0.0001930732,0.0001545341,0.002680092,0.9276467,0.05756758,0.0001759201,0.0001024716,0.0006010361,0.000118207,0.0006937499,0.01002806,0.00003859965],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008875416,0.9964735,0.0006101531,0.000570287,0.0001419425,0.0004173883,0.0006340215,0.00002577891,0.0002392653],"genre_scores_gemma":[0.02210207,0.9736597,0.001765136,0.0008234105,0.0001567441,0.0009040821,0.0004554646,0.00001233082,0.0001210697],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01298407,"threshold_uncertainty_score":0.06866723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07057447423156037,"score_gpt":0.3765405609779151,"score_spread":0.3059660867463547,"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."}}