{"id":"W3040958639","doi":"10.1111/andr.12858","title":"Phytoestrogen intake and other dietary risk factors for low motile sperm count and poor sperm morphology","year":2020,"lang":"en","type":"article","venue":"Andrology","topic":"Phytoestrogen effects and research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"European Chemical Industry Council","keywords":"Semen quality; Confounding; Medicine; Sperm; Odds ratio; Logistic regression; Phytoestrogens; Infertility; Semen; Biology; Internal medicine; Pregnancy; Andrology","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":[0.0001314242,0.0001797982,0.0004494202,0.00005593389,0.00009387253,0.00001122521,0.00006650956,0.0001814133,0.0001612065],"category_scores_gemma":[0.0001292069,0.0001288912,0.00007501346,0.00006702566,0.0003099902,0.0000358014,0.00007214586,0.0002616977,0.00001595922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001254048,"about_ca_system_score_gemma":0.00005518578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001378194,"about_ca_topic_score_gemma":0.000024271,"domain_scores_codex":[0.9988689,0.00006573207,0.0001697709,0.0004028583,0.00009712022,0.0003955794],"domain_scores_gemma":[0.9992741,0.0001988945,0.00005484869,0.0001422438,0.0000378625,0.0002920757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001613725,0.0002204328,0.922813,0.0003307492,0.0004736992,0.000240058,0.001200293,0.000008479957,0.0649887,0.0001807744,0.003395746,0.004534364],"study_design_scores_gemma":[0.01849348,0.0256029,0.801554,0.00008486759,0.001093886,0.001769172,0.001008172,0.01608045,0.05310161,0.001673025,0.07854481,0.0009936949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946027,0.001023512,0.00007083034,0.003209424,0.00009617889,0.0005987718,0.0001684325,0.00003354216,0.0001965525],"genre_scores_gemma":[0.9958205,0.0002727254,0.0002330111,0.003184455,0.0003391842,0.00002541123,0.00003705985,0.00003240106,0.00005520513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.121259,"threshold_uncertainty_score":0.525603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03358075859574562,"score_gpt":0.2961033583811336,"score_spread":0.2625225997853879,"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."}}