{"id":"W3039603287","doi":"10.24898/tandro.2020.76094","title":"2866 Semen analiz raporunda, yaş faktörünün semen değerleri üzerine olası etkisinin araştırılması","year":2020,"lang":"tr","type":"article","venue":"Androloji Bülteni","topic":"Agricultural and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Semen; Gynecology; Andrology; Medicine; Biology","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":[0.0006013993,0.0003590702,0.0005191574,0.0006321634,0.0003317268,0.0003904192,0.0001540396,0.0002192208,0.003745824],"category_scores_gemma":[0.001164273,0.0001918856,0.0003816423,0.0005754459,0.0002696496,0.0002950502,0.0002011391,0.0002205889,0.0005321121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002275687,"about_ca_system_score_gemma":0.0003262481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055114,"about_ca_topic_score_gemma":0.001354969,"domain_scores_codex":[0.9996995,0.00005640173,0.00006080055,0.00005162468,0.00008758368,0.00004413537],"domain_scores_gemma":[0.9995683,0.0001325346,0.0001556394,0.00002533738,0.00008364474,0.00003453163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001185977,0.0001593341,0.9269552,0.0002839408,0.0001611683,0.003172245,0.0002956219,0.0001973436,0.004056692,0.0001001298,0.0007264746,0.06270595],"study_design_scores_gemma":[0.00004198897,0.001257473,0.9716077,0.0001168312,0.0001914049,0.01630573,0.0007837164,0.000579902,0.003913374,0.00007827244,0.005102641,0.00002105682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927965,0.005671235,0.0003409002,0.00007987284,0.0000292086,0.00002345189,0.0002423477,0.0000103313,0.0008062479],"genre_scores_gemma":[0.9959028,0.00210663,0.0006071889,0.00006215627,0.00003440749,0.00002069835,0.0004105003,0.000004458821,0.0008510615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003745824,"threshold_uncertainty_score":0.01253104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0465965948105319,"score_gpt":0.2328580442754143,"score_spread":0.1862614494648824,"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."}}