{"id":"W2883889320","doi":"10.1113/jp274708","title":"Wavelet pressure reactivity index: a validation study","year":2018,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute for Health and Care Research","keywords":"Cerebral autoregulation; Autoregulation; Cerebral blood flow; Blood pressure; Cerebral perfusion pressure; Anesthesia; Wavelet; Cardiology; Continuous wavelet transform; Internal medicine; Medicine; Mathematics; Biomedical engineering; Wavelet transform; Chemistry; Computer science; Discrete wavelet transform; Artificial intelligence","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":[0.00496334,0.000645604,0.0004290181,0.001162589,0.0002012153,0.0004658911,0.0005901406,0.0006957073,0.001137823],"category_scores_gemma":[0.01032018,0.0001461286,0.0005173043,0.0007334484,0.0004807248,0.0004854443,0.0005347143,0.000543602,0.0005868191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002585726,"about_ca_system_score_gemma":0.0002379829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008665114,"about_ca_topic_score_gemma":0.0003398551,"domain_scores_codex":[0.9986358,0.0005121052,0.0001186319,0.0002700058,0.0003979506,0.00006542034],"domain_scores_gemma":[0.9938846,0.002672897,0.0006279704,0.001012123,0.001616558,0.0001858514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005458002,0.004304105,0.2466606,0.001083346,0.0009165477,0.0007768038,0.0009247437,0.05593289,0.261676,0.001726735,0.003993154,0.4165471],"study_design_scores_gemma":[0.0004775513,0.01885308,0.3927738,0.0001295915,0.0006558637,0.002452114,0.0004282527,0.4855047,0.0921769,0.001025832,0.005380729,0.0001416268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9240797,0.0006246982,0.07228121,0.00005392658,0.0000855663,0.0002598359,0.0008394956,0.0003751807,0.001400349],"genre_scores_gemma":[0.9702612,0.0002694039,0.02686937,0.00002860934,0.00003212502,0.0001679693,0.00179347,0.00004363951,0.0005340804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00496334,"threshold_uncertainty_score":0.02624893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02936227760086652,"score_gpt":0.3024607872230424,"score_spread":0.2730985096221759,"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."}}