{"id":"W2593621562","doi":"10.1186/s12916-017-0817-5","title":"Preclinical evaluation of a TEX101 protein ELISA test for the differential diagnosis of male infertility","year":2017,"lang":"en","type":"article","venue":"BMC Medicine","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Université Laval; University of Toronto; University Health Network; Centre hospitalier universitaire de Québec; Centre hospitalier de l'Université Laval; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Azoospermia; Medicine; Vasectomy; Andrology; Obstructive azoospermia; Epididymis; Semen; Male infertility; Population; Oligospermia; Biomarker; Infertility; Semen analysis; Sperm; Internal medicine; Endocrinology; Urology; Gynecology; Biology; Pregnancy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001707806,0.0000998031,0.0003431794,0.00003752119,0.0001023157,0.000004510597,0.0001346541,0.0000808985,0.001017283],"category_scores_gemma":[0.04284563,0.00005427215,0.00010937,0.00004132704,0.0003684698,0.00003983569,0.00003923712,0.00009058431,0.000002682472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002563527,"about_ca_system_score_gemma":0.0001620854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002108481,"about_ca_topic_score_gemma":0.0001051056,"domain_scores_codex":[0.9985767,0.00006541063,0.0004548799,0.0001899081,0.0005994779,0.000113612],"domain_scores_gemma":[0.9968413,0.001381088,0.0003624573,0.0007786844,0.0005732683,0.0000632665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000438128,0.0004578968,0.97012,0.000378554,0.00006181499,3.844996e-7,0.00008958173,0.000002809312,0.009168814,0.00008167198,0.0007859273,0.0184144],"study_design_scores_gemma":[0.00581972,0.001092595,0.9697209,0.0005767737,0.001284937,0.000005315893,0.000051757,0.009077009,0.01183692,0.0002999442,0.0001879265,0.00004620321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914991,0.0004699239,0.002789149,0.001688627,0.0003026145,0.002453372,0.00001362138,0.00001182479,0.0007718035],"genre_scores_gemma":[0.998377,0.00001991623,0.0003089828,0.0000361258,0.0005221152,0.0004918681,0.0000240911,0.000009662242,0.0002102459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04113783,"threshold_uncertainty_score":0.9998959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1741791575484797,"score_gpt":0.4107108411053657,"score_spread":0.236531683556886,"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."}}