{"id":"W4392358828","doi":"10.18280/ts.410112","title":"Automated Physiological Status Detection and Disease Evaluation of Critically Ill Patients via Image Processing Technologies","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Critically ill; Computer science; Image processing; Artificial intelligence; Image (mathematics); Intensive care medicine; Medicine; Computer vision","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":[0.001046078,0.0009373392,0.0007431719,0.001535124,0.0002883837,0.001610711,0.0006914411,0.00117047,0.001285974],"category_scores_gemma":[0.003817097,0.00033539,0.0007154114,0.0006799193,0.000428926,0.00128039,0.001067547,0.001215472,0.0008060844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003660523,"about_ca_system_score_gemma":0.0006512062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00101401,"about_ca_topic_score_gemma":0.001189888,"domain_scores_codex":[0.9994191,0.000142044,0.00006200824,0.0001416216,0.00017588,0.0000594002],"domain_scores_gemma":[0.9988795,0.00047758,0.0002138824,0.00009330703,0.0002724371,0.00006331244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007054161,0.0002574343,0.02022981,0.001260148,0.0001573459,0.0009397442,0.0005073571,0.03905095,0.1016453,0.005775561,0.009201343,0.8202695],"study_design_scores_gemma":[0.00008036271,0.001022623,0.03860635,0.0007017564,0.000351098,0.002769678,0.0004822131,0.8057784,0.1066714,0.02496591,0.01838482,0.0001854049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07719423,0.006892011,0.9069316,0.001631752,0.0003104379,0.0002355886,0.0006874573,0.001791297,0.00432549],"genre_scores_gemma":[0.6088102,0.008204481,0.3769688,0.001223037,0.0005677757,0.0003712399,0.001154426,0.0002144314,0.002485535],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001610711,"threshold_uncertainty_score":0.005532265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535978326785391,"score_gpt":0.2610716885364043,"score_spread":0.2457119052685504,"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."}}