{"id":"W2896451078","doi":"10.1136/bmj.k4236","title":"Pre-eclampsia and the brain","year":2018,"lang":"en","type":"letter","venue":"BMJ","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Eclampsia; Computer science; Data science; Pregnancy; Medicine; Biology","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":[0.002326798,0.0002912384,0.0009282217,0.000820476,0.002723663,0.001969952,0.0009439721,0.01837979,0.009086708],"category_scores_gemma":[0.02811862,0.0003646095,0.0004509352,0.001109203,0.001686121,0.002191411,0.001126972,0.01156179,0.002136379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002498574,"about_ca_system_score_gemma":0.004350062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0147219,"about_ca_topic_score_gemma":0.02662607,"domain_scores_codex":[0.9980392,0.000988232,0.0002954963,0.0001173515,0.000350128,0.0002095806],"domain_scores_gemma":[0.9870407,0.008638094,0.001018101,0.0003223776,0.001234185,0.00174649],"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":[0.0002373047,0.00006999465,0.01404521,0.0003762371,0.00008213884,0.005650165,0.000484272,0.00003081212,0.0001046351,0.004493405,0.9543508,0.020075],"study_design_scores_gemma":[0.0009372016,0.0002035666,0.04271734,0.004469681,0.0003175575,0.0123649,0.004146495,0.0002216368,0.0002978092,0.02966181,0.9045492,0.0001128525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002210398,0.006460628,0.00001292962,0.9809088,0.00649672,0.000005514741,0.0001050085,0.000004439751,0.003795571],"genre_scores_gemma":[0.05052663,0.01869575,0.0001445317,0.8277849,0.09353168,0.00009356996,0.0001406523,0.00001969203,0.009062598],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01837979,"threshold_uncertainty_score":0.03039801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470038387082728,"score_gpt":0.30130630605639,"score_spread":0.2766059221855627,"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."}}