{"id":"W4214486039","doi":"10.1080/10408363.2019.1704475","title":"Correction","year":2019,"lang":"en","type":"review","venue":"Critical Reviews in Clinical Laboratory Sciences","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Library science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00603172,0.002091156,0.002023395,0.006079703,0.002003089,0.005565302,0.003065427,0.006406273,0.1409994],"category_scores_gemma":[0.08614796,0.0008296781,0.001994961,0.003781538,0.002162491,0.002617914,0.003848385,0.008596191,0.07148129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004267836,"about_ca_system_score_gemma":0.01104778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01268945,"about_ca_topic_score_gemma":0.01459757,"domain_scores_codex":[0.9918448,0.001618392,0.001120313,0.0009394425,0.003753866,0.0007231458],"domain_scores_gemma":[0.9566828,0.009278183,0.00332562,0.002453209,0.02609055,0.002169753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000707267,0.000001168664,0.00001079879,0.0001213039,0.000003757274,0.00002070872,0.000008164984,0.000005664717,0.000008556234,0.0002593628,0.9946771,0.004876421],"study_design_scores_gemma":[0.00001977677,0.000006723908,0.0001301329,0.0006020433,0.00001253886,0.0001062911,0.00002388545,0.00001601121,0.00003369927,0.0005024808,0.9985358,0.00001062797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00003209454,0.008780509,0.0003358702,0.05914304,0.9262454,0.00003355911,0.001332489,0.0002569943,0.003840066],"genre_scores_gemma":[0.004388956,0.03617097,0.002764566,0.2125999,0.5564472,0.0004062973,0.004806092,0.001232407,0.1811836],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8590006,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.347946097703258,"score_gpt":0.5862213948380349,"score_spread":0.238275297134777,"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."}}