{"id":"W2118892305","doi":"10.1186/cc5341","title":"Importance of nonlinearities to quantify mechanical pulmonary stress under dynamic conditions: stress index and SLICE method","year":2007,"lang":"en","type":"article","venue":"Critical Care","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Stress (linguistics); Index (typography); Intensive care medicine; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002092227,0.0007082991,0.0005214486,0.001292537,0.0002457087,0.0007563503,0.0005304595,0.0006153458,0.001205404],"category_scores_gemma":[0.006492559,0.0002905451,0.0002298919,0.00071891,0.0006903855,0.001413811,0.0005730232,0.0006653738,0.0003211811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002334466,"about_ca_system_score_gemma":0.0003771831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006650048,"about_ca_topic_score_gemma":0.001072375,"domain_scores_codex":[0.9993241,0.0001824073,0.00006077575,0.0001213093,0.0002832116,0.00002827968],"domain_scores_gemma":[0.9943193,0.002863501,0.000814289,0.0005202034,0.001207994,0.000274801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002307746,0.0002077283,0.1676008,0.0007208372,0.0002205229,0.0003816439,0.0006276464,0.007121087,0.5914612,0.002462587,0.0006627984,0.2262253],"study_design_scores_gemma":[0.0000814722,0.004181569,0.509023,0.0002759188,0.0005760146,0.00897105,0.001146349,0.1426249,0.3207238,0.006080194,0.005920208,0.0003954123],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5356011,0.008561455,0.4508855,0.0003242024,0.0002504748,0.0002071701,0.0004948759,0.0003278315,0.003347438],"genre_scores_gemma":[0.8761836,0.003021576,0.1192173,0.0001404824,0.0002276629,0.0001472692,0.0002809255,0.0001311952,0.0006498311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002092227,"threshold_uncertainty_score":0.01106489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03262978648081995,"score_gpt":0.4011045891170049,"score_spread":0.3684748026361849,"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."}}