{"id":"W4296023671","doi":"10.1093/humrep/deac189","title":"Standards in semen examination: publishing reproducible and reliable data based on high-quality methodology","year":2022,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Mary's Hospital Centre; University of Toronto; McGill University; CReATe Fertility Centre; University of British Columbia; Achieve Life Sciences (Canada)","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; World Health Organization","keywords":"Checklist; Transparency (behavior); Publishing; Semen; Computer science; Library science; Medicine; Medical physics; Medical education; Psychology; Political science; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03436764,0.0001576068,0.0004015046,0.0003051384,0.000460234,0.00004270919,0.0002277953,0.0001013505,0.0004121525],"category_scores_gemma":[0.008326708,0.0001564338,0.00002867995,0.0005004674,0.0001757263,0.0004183443,0.0003943105,0.0007312809,0.000001589218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003938492,"about_ca_system_score_gemma":0.0001657851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005905576,"about_ca_topic_score_gemma":0.00004507563,"domain_scores_codex":[0.9944119,0.001727299,0.0005196595,0.002547014,0.0005364321,0.0002577025],"domain_scores_gemma":[0.9955168,0.0001359711,0.0002172331,0.003799486,0.000271773,0.00005870774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02718961,0.004976988,0.5714101,0.001205652,0.0002978537,0.0001655943,0.003720965,0.003181147,0.1504549,0.0133529,0.04483702,0.1792072],"study_design_scores_gemma":[0.001417717,0.0007334601,0.9585034,0.00001920055,0.00003868915,0.00005121995,0.0004227919,0.0001416742,0.006302776,0.003210973,0.02898682,0.0001713368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858643,0.0004607517,0.000292321,0.00873477,0.0007685423,0.0007308841,0.00007096586,0.0001241272,0.002953316],"genre_scores_gemma":[0.9941657,0.00001357858,0.00235308,0.0003321069,0.0005839324,0.00009147461,0.0008580147,0.00001937676,0.001582731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3870932,"threshold_uncertainty_score":0.9968449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2595506956085398,"score_gpt":0.4211520045796572,"score_spread":0.1616013089711174,"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."}}