{"id":"W2316926239","doi":"10.1095/biolreprod.115.129833","title":"Benefits of Menopause: Good Fishing","year":2015,"lang":"en","type":"letter","venue":"Biology of Reproduction","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Whale; Offspring; Biology; Menopause; Demography; Ecology; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001410268,0.0002210371,0.0003612612,0.0004833105,0.001988132,0.001563091,0.0004252931,0.001194692,0.01412717],"category_scores_gemma":[0.006926465,0.0001950832,0.0003735621,0.0003160911,0.001129375,0.001474274,0.0017593,0.001449228,0.001061911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000859088,"about_ca_system_score_gemma":0.001024735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01145449,"about_ca_topic_score_gemma":0.03678186,"domain_scores_codex":[0.9994548,0.0001671446,0.00002813955,0.00007514867,0.0001359475,0.0001388815],"domain_scores_gemma":[0.998307,0.0004454308,0.0003129532,0.0001334448,0.0003179561,0.0004831745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001051628,0.0003789076,0.2597212,0.001795952,0.000637683,0.00227414,0.009025356,0.0004499923,0.004299484,0.01174061,0.1187525,0.5898727],"study_design_scores_gemma":[0.0001334464,0.0007046182,0.7023962,0.002436469,0.0006019302,0.002549857,0.02442829,0.0004342811,0.0009330913,0.02709147,0.2381575,0.0001327954],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"editorial","genre_scores_codex":[0.5335464,0.0459541,0.003348242,0.2211242,0.003574315,0.0001292649,0.002229415,0.0001846778,0.1899092],"genre_scores_gemma":[0.9607028,0.01159704,0.0014729,0.01395612,0.001077517,0.00005090151,0.0003313307,0.0000549768,0.01075637],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.01412717,"threshold_uncertainty_score":0.04726005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03684333641898627,"score_gpt":0.2528588246488762,"score_spread":0.2160154882298899,"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."}}