{"id":"W4387157033","doi":"","title":"First-Trimester Screening Program for the Risk of Pre-eclampsia Using a Multiple-Marker Algorithm: A Health Technology Assessment.","year":2023,"lang":"en","type":"article","venue":"PubMed","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Eclampsia; Population; Psychological intervention; Risk assessment; Pregnancy; Environmental health; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.03802528,0.001736479,0.006984031,0.02009796,0.0005714665,0.003003141,0.002453578,0.00313336,0.003718616],"category_scores_gemma":[0.1443517,0.001091064,0.0164059,0.0126537,0.0006076779,0.003867473,0.002698085,0.002425288,0.0003587054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01068328,"about_ca_system_score_gemma":0.01524564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0125557,"about_ca_topic_score_gemma":0.01584913,"domain_scores_codex":[0.936237,0.03392122,0.01294599,0.002641,0.01364657,0.0006082077],"domain_scores_gemma":[0.9055592,0.05251397,0.02629673,0.001934927,0.01249744,0.001197595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00569533,0.0006941363,0.03919341,0.384123,0.09731859,0.0001969353,0.0004612626,0.006469602,0.0003772775,0.004067087,0.01240938,0.448994],"study_design_scores_gemma":[0.02111405,0.006617351,0.1518448,0.4171594,0.3458053,0.001063179,0.000500026,0.02374905,0.001181965,0.005948558,0.0244916,0.0005246858],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03224584,0.8859959,0.01569042,0.01694321,0.0009212462,0.02361036,0.01765063,0.0005231097,0.00641935],"genre_scores_gemma":[0.449971,0.3404039,0.1502743,0.009526432,0.000948752,0.03615128,0.01176694,0.00008702988,0.0008703997],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03802528,"threshold_uncertainty_score":0.2010993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05721115922470173,"score_gpt":0.3435283980474576,"score_spread":0.2863172388227558,"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."}}