{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004630425,0.0002205736,0.0003380595,0.0007395265,0.0003592303,0.0004507229,0.0001403072,0.0002202953,0.001634139],"category_scores_gemma":[0.002704627,0.0001544223,0.0002260954,0.0006540315,0.0002696333,0.0003355433,0.0002297162,0.0002548404,0.0002172447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001426907,"about_ca_system_score_gemma":0.0001817164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001344257,"about_ca_topic_score_gemma":0.001778635,"domain_scores_codex":[0.999311,0.000272003,0.00007218319,0.00008474864,0.0001827126,0.00007740316],"domain_scores_gemma":[0.9977531,0.0009423015,0.0007824225,0.0001083932,0.0002121938,0.0002016504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001405151,0.00003922075,0.9926274,0.00003121564,0.0000394623,0.0006757759,0.0002529626,0.00003038854,0.0004493709,0.0000143519,0.00008554689,0.005613674],"study_design_scores_gemma":[0.000004398233,0.000821668,0.9909112,0.00001758951,0.00006684325,0.005926606,0.0006793672,0.00009806937,0.0004595794,0.00001402251,0.0009908284,0.000009846894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978026,0.001334984,0.00008104358,0.00003061078,0.00001019296,0.000007803066,0.000116662,0.000004018839,0.0006121602],"genre_scores_gemma":[0.9991736,0.0004047059,0.00007460034,0.00003444493,0.00001935549,0.000002921518,0.0001015265,0.00000155072,0.0001873193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001634139,"threshold_uncertainty_score":0.005466759,"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."}}