{"id":"W2165242938","doi":"10.1111/j.1439-0272.2011.01075.x","title":"Impact of cell phone use on men’s semen parameters","year":2011,"lang":"en","type":"article","venue":"Andrologia","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Phone; Semen; Testosterone (patch); Semen analysis; Semen quality; Andrology; Sperm; Infertility; Medicine; Pathological; Male infertility; Prolactin; Gynecology; Follicle-stimulating hormone; Significant difference; Hormone; Internal medicine; Biology; Luteinizing hormone; Pregnancy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001243537,0.0001002034,0.0002356996,0.0001022499,0.00002158358,0.000002141982,0.00006515683,0.0001086976,0.0001047513],"category_scores_gemma":[0.0001834428,0.00006471899,0.0000834594,0.0001153433,0.0001093586,0.00004656772,0.00002526535,0.0001553919,0.00005349669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003440858,"about_ca_system_score_gemma":0.00004551208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005378738,"about_ca_topic_score_gemma":0.00000139306,"domain_scores_codex":[0.9992964,0.00002047389,0.0001600143,0.0002148573,0.00008801366,0.0002201921],"domain_scores_gemma":[0.9993314,0.00004361969,0.00008582574,0.0004233503,0.00005210549,0.00006367474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001793426,0.0006425324,0.9637878,0.00006272778,0.0001102653,0.00006258614,0.0004231626,0.000003090202,0.02193297,0.000146178,0.007217666,0.00381759],"study_design_scores_gemma":[0.0008234851,0.0048983,0.8564649,0.0000134017,0.00003311633,0.00001519534,0.00006157775,0.000009485821,0.1370597,0.0004530571,0.00009629287,0.00007144968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897902,0.00007425972,0.00001297941,0.00008765471,0.00004744149,0.0002467443,0.000005359383,0.00009400482,0.009641362],"genre_scores_gemma":[0.9976988,0.0001273664,0.001712077,0.000148236,0.00001250657,0.00001368584,0.000004413574,0.000008300145,0.0002746504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1151267,"threshold_uncertainty_score":0.2639164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08650056877292145,"score_gpt":0.314134740406117,"score_spread":0.2276341716331955,"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."}}