{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001751297,0.0007832223,0.0004289342,0.0004610436,0.0001802654,0.0005887375,0.0005245194,0.0007671714,0.001950221],"category_scores_gemma":[0.001321957,0.0002920498,0.000278619,0.0002049659,0.00048941,0.0003136505,0.0002913087,0.0008205606,0.0006613674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003888219,"about_ca_system_score_gemma":0.0005667066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004413345,"about_ca_topic_score_gemma":0.0004392607,"domain_scores_codex":[0.9995246,0.000190168,0.00001979769,0.00007226144,0.000131674,0.00006155137],"domain_scores_gemma":[0.9993207,0.0001763121,0.0001290115,0.00005553682,0.0001670265,0.0001513398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.009549223,0.00438037,0.01589142,0.0002683562,0.0001688115,0.0002589755,0.0001342016,0.001473982,0.9257046,0.0002013876,0.001066723,0.04090189],"study_design_scores_gemma":[0.001129275,0.1629332,0.05166268,0.00008373603,0.0005041546,0.002054543,0.0001512814,0.01202093,0.7623832,0.0002365367,0.006798096,0.00004231379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765111,0.003234395,0.01484715,0.0003960413,0.0001586405,0.001074398,0.0008824847,0.0003152709,0.002580399],"genre_scores_gemma":[0.9893463,0.001019399,0.005968643,0.0002103903,0.00005577585,0.0004329646,0.001265208,0.00002032155,0.00168098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001950221,"threshold_uncertainty_score":0.009261906,"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."}}