{"id":"W4403592299","doi":"10.1016/j.fertnstert.2024.07.847","title":"THE TEMPORAL DECLINE IN SPERM COUNT IS GEOGRAPHICALLY DEPENDENT","year":2024,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Sperm; Andrology; Biology; Statistics; Medicine; Mathematics","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":[0.001066877,0.0001000268,0.0001937552,0.001215426,0.00031477,0.0006774947,0.0003386558,0.0005079667,0.007339772],"category_scores_gemma":[0.003809031,0.0001814806,0.0002783532,0.001720044,0.0005341705,0.0008231531,0.0005011669,0.0005521836,0.0007691372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002856462,"about_ca_system_score_gemma":0.0002400802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109708,"about_ca_topic_score_gemma":0.02146463,"domain_scores_codex":[0.9997577,0.00005842416,0.00002171026,0.00007989704,0.00003067071,0.00005165458],"domain_scores_gemma":[0.9965295,0.0009301147,0.00148794,0.0003196555,0.0004813724,0.0002514351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001969016,0.00003660728,0.9826148,0.00005903635,0.0001155931,0.0001050054,0.0005988588,0.0003927043,0.002983653,0.001078372,0.0006655539,0.01115305],"study_design_scores_gemma":[0.000001102816,0.00002247485,0.998521,0.000005451013,0.00001131983,0.00006589355,0.0002811875,0.0001266744,0.00007776303,0.0001335217,0.0007509053,0.000002713961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912503,0.001175754,0.0007937461,0.0005596489,0.00001946927,0.000008406369,0.001679328,0.0000203399,0.004493052],"genre_scores_gemma":[0.9973983,0.0004522715,0.0001421012,0.00007432681,0.00001715816,0.000004783805,0.0007651577,0.000006721777,0.001139263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01109708,"threshold_uncertainty_score":0.02455401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03209639055841551,"score_gpt":0.3203323321495208,"score_spread":0.2882359415911053,"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."}}