{"id":"W4407291918","doi":"10.1016/j.placenta.2024.10.043","title":"“GPI signal lost”: Implications for preeclampsia","year":2025,"lang":"en","type":"article","venue":"Placenta","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Preeclampsia; SIGNAL (programming language); Computational biology; Biology; Medicine; Obstetrics; Genetics; Pregnancy; Computer science","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":[0.002604377,0.0003809827,0.0004412954,0.002101132,0.0006191484,0.002692924,0.0009664959,0.00146058,0.003926553],"category_scores_gemma":[0.01620568,0.000172094,0.0002900878,0.003086696,0.001972239,0.00109445,0.0008618655,0.001336104,0.0003041444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005655527,"about_ca_system_score_gemma":0.0005472414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001449243,"about_ca_topic_score_gemma":0.0007202705,"domain_scores_codex":[0.9987113,0.0007165013,0.0001202952,0.0001465527,0.0001926925,0.0001126165],"domain_scores_gemma":[0.9958497,0.002585293,0.0009106922,0.0002827878,0.0001752766,0.0001963101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005031635,0.0003827247,0.8366532,0.001365804,0.0007716965,0.02125866,0.003709548,0.00023368,0.009305837,0.01977581,0.002345488,0.09916603],"study_design_scores_gemma":[0.0003290477,0.001774331,0.8840249,0.001473885,0.001620037,0.0480295,0.007523176,0.0009222376,0.00561646,0.03114674,0.0174757,0.00006398051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9391569,0.03137281,0.002088993,0.007301386,0.0003092301,0.00006671538,0.000585137,0.00002679554,0.01909202],"genre_scores_gemma":[0.9908803,0.006028993,0.0007277595,0.001078126,0.0002519148,0.00001528158,0.0001533605,0.0000102318,0.0008540515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003926553,"threshold_uncertainty_score":0.01377344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03057212517462714,"score_gpt":0.32325107356107,"score_spread":0.2926789483864429,"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."}}