{"id":"W4388821874","doi":"10.1016/j.cca.2023.117668","title":"Advances in human reproductive biomarkers","year":2023,"lang":"en","type":"review","venue":"Clinica Chimica Acta","topic":"Reproductive System and Pregnancy","field":"Immunology and Microbiology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Research Institute for Aging, University of Waterloo","keywords":"Human chorionic gonadotropin; Reproductive medicine; Biomarker discovery; Identification (biology); Biomarker; Reproductive health; Medicine; Pregnancy; Biology; Proteomics; Population","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001678033,0.0006739145,0.003141675,0.0005265818,0.0001842481,0.00002191207,0.0009976448,0.001092733,0.0003073666],"category_scores_gemma":[0.001458445,0.0005386117,0.0008525409,0.0008340139,0.0005125475,0.0001908313,0.0003662677,0.001225306,0.00203496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001081214,"about_ca_system_score_gemma":0.0002440419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001878557,"about_ca_topic_score_gemma":0.00003104612,"domain_scores_codex":[0.9935908,0.001542905,0.001996193,0.002164232,0.00005917189,0.0006467532],"domain_scores_gemma":[0.9955884,0.001013972,0.001169411,0.002118901,0.00007266624,0.00003660475],"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":[0.00005825785,0.0004635206,0.0001911762,0.02202674,0.001876554,0.00004310019,0.0003677343,6.003835e-8,0.0005703067,0.0004668309,0.02110087,0.9528348],"study_design_scores_gemma":[0.0004040775,0.0001162229,0.0001139369,0.0186467,0.0003369443,0.00006439989,0.0000507428,5.342411e-9,0.00002891823,0.0004406909,0.9792401,0.0005572406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003088684,0.9828107,2.270813e-7,0.00009500152,0.003612676,0.001654105,0.0001215514,0.0002360646,0.01143877],"genre_scores_gemma":[0.0002279276,0.9917068,0.00001303035,0.00001243662,0.0004090425,0.0003551405,0.0006622339,0.0001288462,0.006484574],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9581392,"threshold_uncertainty_score":0.9997066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09499193872009162,"score_gpt":0.405729908771842,"score_spread":0.3107379700517503,"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."}}