{"id":"W3176649519","doi":"10.1016/j.rbmo.2021.06.021","title":"Assessing the testicular sperm microbiome: a low-biomass site with abundant contamination","year":2021,"lang":"en","type":"article","venue":"Reproductive BioMedicine Online","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Consejería de Conocimiento, Investigación y Universidad, Junta de Andalucía; European Society of Human Reproduction and Embryology; Ministerio de Educación, Cultura y Deporte; Junta de Andalucía; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Universidad de Granada; Ministerio de Economía y Competitividad; European Regional Development Fund; Federación Española de Enfermedades Raras; Ministerio de Ciencia, Innovación y Universidades","keywords":"Microbiome; Biology; Sperm; Clostridium; Contamination; Metagenomics; Andrology; Microbiology; Physiology; Bacteria; Ecology; Bioinformatics; Medicine; Gene; Genetics","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":[0.000842178,0.0004868312,0.0007688957,0.001059577,0.0006733583,0.001692326,0.000351914,0.0006128621,0.002856838],"category_scores_gemma":[0.001445101,0.000250303,0.000446172,0.00113532,0.0005570069,0.0005062956,0.0007171425,0.0003324204,0.0005440413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003025699,"about_ca_system_score_gemma":0.0006698942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001728815,"about_ca_topic_score_gemma":0.00328676,"domain_scores_codex":[0.9992878,0.0001698612,0.00004310089,0.0001556117,0.0002379714,0.0001056005],"domain_scores_gemma":[0.999244,0.000211047,0.0002244511,0.00003838411,0.0001784235,0.0001037904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001151392,0.0001037066,0.5294222,0.002354461,0.0004985748,0.001723759,0.001073926,0.0008940932,0.4088767,0.0005773922,0.00129051,0.05203341],"study_design_scores_gemma":[0.00003376968,0.001123313,0.8613472,0.0005612891,0.0006161752,0.004951605,0.003494741,0.002341936,0.1142039,0.0009110683,0.01033734,0.00007771343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786546,0.009440785,0.007775709,0.0003878094,0.00009757877,0.00009716721,0.00214804,0.00009678719,0.001301619],"genre_scores_gemma":[0.9869992,0.002245268,0.007649508,0.0003153942,0.0000774434,0.00004386202,0.001654477,0.00003631465,0.0009784593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002856838,"threshold_uncertainty_score":0.009557128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715771597034316,"score_gpt":0.2962922713165478,"score_spread":0.2791345553462047,"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."}}