{"id":"W4414098595","doi":"10.21203/rs.3.rs-7403210/v1","title":"Regional Tissue Perfusion Index (RTPI): A New Optical-Based Metric for Quantifying Regional Tissue Perfusion","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"International Collaboration On Repair Discoveries; University of British Columbia","funders":"Medical Research and Materiel Command; University of British Columbia","keywords":"Perfusion; Photoplethysmogram; Robustness (evolution); Metric (unit); Hemodynamics; Intraclass correlation; Principal component analysis","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":[0.001137561,0.001428627,0.0007398443,0.002588395,0.0003117161,0.001603062,0.0008608294,0.001271781,0.002292898],"category_scores_gemma":[0.002448636,0.000367107,0.0004879168,0.00172857,0.0009444107,0.002659054,0.001056399,0.0009614062,0.001014904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005700924,"about_ca_system_score_gemma":0.000505658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005318667,"about_ca_topic_score_gemma":0.0005240129,"domain_scores_codex":[0.999299,0.0001206406,0.00003466683,0.000175448,0.0003226392,0.00004760407],"domain_scores_gemma":[0.9992616,0.0002299694,0.0002188127,0.00008852289,0.0001447943,0.00005631248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004386112,0.0001403412,0.005097541,0.0007969913,0.0002638046,0.000369268,0.0002099031,0.02744241,0.6596984,0.02370921,0.005598434,0.2762352],"study_design_scores_gemma":[0.00006102621,0.0007638151,0.02365491,0.0001414711,0.0004224113,0.004512152,0.0001762135,0.3937439,0.5157433,0.03209957,0.02838876,0.0002925078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03730375,0.003333196,0.951627,0.0002891958,0.0002321239,0.00007898071,0.0006054442,0.001530311,0.005000077],"genre_scores_gemma":[0.5536296,0.005225164,0.4268292,0.0004299919,0.0005889509,0.0004592318,0.00111801,0.001068851,0.0106509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002588395,"threshold_uncertainty_score":0.007670522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1508866611836654,"score_gpt":0.4935382810385052,"score_spread":0.3426516198548398,"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."}}