{"id":"W2099950831","doi":"10.1093/humrep/der312","title":"ESHRE special interest group for andrology basic semen analysis course: a continued focus on accuracy, quality, efficiency and clinical relevance","year":2011,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"Achieve Life Sciences (Canada)","funders":"","keywords":"Semen analysis; Semen; Relevance (law); Sperm; Gynecology; Andrology; Medicine; Computer science; Psychology; Biology; Infertility; Political science; Pregnancy; Law","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":[0.001225903,0.0001487645,0.000437885,0.0001561898,0.000149952,0.000016655,0.00005702819,0.0001314875,0.0001865778],"category_scores_gemma":[0.001595358,0.0001309798,0.0001939323,0.0002437318,0.0001812016,0.00006640651,0.00002987688,0.0002076601,0.00001463083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003830047,"about_ca_system_score_gemma":0.00002049609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007867794,"about_ca_topic_score_gemma":0.0004638924,"domain_scores_codex":[0.9981796,0.0001276984,0.0005163291,0.0008298818,0.0001464172,0.0002000648],"domain_scores_gemma":[0.9986964,0.0001752322,0.0002663416,0.0006064851,0.0001686564,0.00008690709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006795183,0.004405614,0.7948493,0.0002168773,0.002059996,0.00005742168,0.001508974,0.000006017981,0.00704716,0.02643935,0.005763141,0.1508509],"study_design_scores_gemma":[0.002822101,0.003227054,0.9846888,0.00003665792,0.001908546,0.00005692966,0.0001410973,0.0001168664,0.001159184,0.002741524,0.002910873,0.0001903633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946529,0.0001421475,0.00177374,0.0004989817,0.0008740163,0.0006522605,0.000005051445,0.00008617983,0.001314685],"genre_scores_gemma":[0.9958383,0.00003865613,0.0002856679,0.00009116375,0.003124737,0.00003283643,0.0000678025,0.000017641,0.0005031239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1898394,"threshold_uncertainty_score":0.5341202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1281791791279948,"score_gpt":0.3902697273877955,"score_spread":0.2620905482598007,"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."}}