{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005428246,0.0001671806,0.000404028,0.0000354111,0.00003375521,0.000002109606,0.000260271,0.0003549971,0.0005224797],"category_scores_gemma":[0.0002307651,0.0001479952,0.00005576813,0.0001496524,0.0002921621,0.00006636784,0.0004471854,0.0003518189,0.00007643638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001004938,"about_ca_system_score_gemma":0.00001002694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002954851,"about_ca_topic_score_gemma":0.0001571027,"domain_scores_codex":[0.9985427,0.00009618483,0.000347317,0.0006207904,0.0002003545,0.0001925997],"domain_scores_gemma":[0.9988567,0.00002711151,0.000480765,0.0005777275,0.00004017169,0.00001751101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009827985,0.00002216575,0.01207388,0.00009250743,0.00004683316,9.263362e-7,0.00005176389,0.00002008395,0.0005451383,0.00001442478,0.9413876,0.04573485],"study_design_scores_gemma":[0.0000797254,0.0002685669,0.01940224,0.00002217555,0.00003706014,0.00001209376,0.000006516467,4.64041e-7,0.00156271,0.0002903534,0.9781887,0.0001294136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3714294,0.02343159,0.00001710107,0.5338696,0.002987009,0.001069401,0.0001404472,0.0001219605,0.06693352],"genre_scores_gemma":[0.5786563,0.03193428,0.02018346,0.2536588,0.04484466,0.0004223011,0.003283954,0.0006197343,0.06639652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2802108,"threshold_uncertainty_score":0.603507,"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."}}